DATAx All Speakers - Argyle Executive Forum Events DATAx All Speakers - Argyle Executive Forum Events
November 06 - 07, 2019
November 6 - 7, 2019

Aaron Cheng

Vice President of Data Science and Solutions
dotData

Aiyi Zhang

Data Scientist
Tomorrow Networks (a division of Aptus Health)

Alex Sanchez

Risk Management & Strategy
Bloomberg

Amit Bhattacharyya

Head of Data Science
Vox Media

Anand Dwivedi

Senior Data Scientist
Nasdaq

Anindya Datta

CEO & Founder
Mobilewalla

Anneka Van Scoyc

Graphic Designer
Population Reference Bureau (PRB)

Aziz Lookman

Chief Analytics Officer
Rational AI

Bartt Charles Kellermann

CEO
Global Capital Management

Ben Adams, MSE

Chief Information Officer
College of St. Scholastica

Bruce Tyler

Cognitive Business Decision Support Leader
IBM

Cortney Harding

Co-Founder
Friends With Holograms

Daniel Gremmell

Vice President, Data Science
Plated

Deepna Devkar

Vice President, Data Science & Engineering
CNN

Eli Brumbaugh

Design Leader, Data Platform
Airbnb

Ernie Ostic

Senior Vice President of Products
MANTA

Fred Beltrami

Chief Risk Officer
Bloomberg

Gildas Bah

Data Scientist
Harvard Business School Online

Haftan Eckholdt

Chief Data Officer & Chief Science Officer
Understood.org

Hamza Farooq

Principal Data Scientist
Walmart Labs

KEYNOTE: Hilary Mason

Data Scientist in Residence
Accel Partners

Ilan Man

Head of Data
Trialspark

Isaac Wagner

Director, Strategy Analytics
Memorial Sloan Kettering Cancer Center

Jacob Olsufa

Visual Analytics Engineer
Spotify

Joshua Korenblat

Assistant Professor of Graphic Design
State University of New York at New Paltz

JT Kostman, PhD.

Advisory Board Member
Omnia Markets. Inc

Kate Starchnyi

Data Visualization Specialist
Story by Data

Ken Romano

Director of Product
Associated Press

Kendell Timmers

Vice President, Advertising Analytics
The New York Times

Kimin Oh

Senior Data Scientist
Samsung

Laura Hamilton

Vice President of Product
Rally Health

Lukman Ramsey

ML & AI Solutions Lead
Google Cloud

Marie Sbrocca

Research Lead, Data Platform
Airbnb

Mark Montgomery

Global Head, Analytic Product and Services
GSK

Michael Phillippi

Vice President
Lytx

Mihaela Nistor

Head of Enterprise Risk Management
Bloomberg

Mike Berger

Vice President/Chief Data & Analytics Officer
Mount Sinai Health

Mike Skarlinski

Manager, Data Science
WW (the new Weight Watchers)

Nathan Susanj

Vice President Head of NLP & Speech Capabilities Development
Wells Fargo

Nir Yungster

Director of Data Science and Product Analytics
JW Player

Patrick Surry

Chief Data Scientist
Hopper

Rahul Tyagi

Former Director, Analytics
Colgate Palmolive

Reza Shiftehfar

Hadoop Platform Team Lead
Uber

Ruchir Vani

Software Engineer – Machine Intelligence Lab
Nasdaq

Sarah Gates

Product Marketing Manager
SAS

Sumeet Singh

Vice President, Big Data, AI & Location Platforms
Verizon Media

Taylor Stork

Chief Operating Officer
Developer’s Mortgage Company

Thomas Vincent

Head of Data Science
Getty Images

KEYNOTE: Tim Sale

Big Data and Analytics Team Lead
Google Cloud

Valerie Kroll

Optimization Director
Search Discovery

Vanitha Lucas

Board Member & Toronto Chapter President
Viz for Social Good
Aaron Cheng is a data science practitioner with 14 years of research and industrial experience. He has held leadership positions spearheading new product development in the fields of data science and business intelligence. At dotData, Aaron leads the data science team, where he is responsible for product development and working directly with clients to solve their most challenging problems. Prior to joining dotData, he was a Data Science Principle Manager with Accenture Digital, responsible for architecting data science solutions and delivering business value for the technology industry on the West Coast. He was instrumental in the strategic expansion of Accenture Digital’s footprint in the data science market in North America.
Aiyi Zhang is a data scientist at Tomorrow Networks (a division of Aptus Health, recently acquired by WebMD), which provides health care brands with data-driven, location-based mobile advertising and marketing solutions driven by consumer behavior. Currently, she is working on identifying user personas using unsupervised learning methods. Previously, she has worked at BronxCare hospital as a biostatistician analyzing electronic medical record data for medical research. She has a master’s degree in statistics from NYU, and a bachelor’s degree from Smith College in economics and art. In her free time, she composes classical music.
Alex Sanchez is a Risk Management and Strategy professional with 15+ years of experience. Currently, Alex is the Global Head of Risk Strategy and Data Analytics team at Bloomberg. Alex is responsible for the design and implementation of Bloomberg’s risk management program. Previously, Alex spent 10 years at the Federal Reserve Bank of New York in operations, technology, and finance. He holds an MBA from NYU’s Stern School of Business, a Master’s in Information Systems from Stevens Institute of Technology and a Bachelor’s from Stony Brook University. His LinkedIn page is: https://www.linkedin.com/in/alexasanchez/
Anand is a Data Scientist at NASDAQ’s Machine Intelligence Lab, a group dedicated to improve financial markets and solutions with AI. His principal interests revolve around the development of algorithms and models on the cusp of signal processing and Deep Learning. He holds a Masters of Science degree in Telecommunications from the University of Maryland.
Anindya Datta is regarded as a leading technologist and innovator, with core contributions in best-in-class large-scale data management solutions and internet technologies. As Founder, CEO and Chairman of Mobilewalla, Datta has pioneered audience measurement in mobile apps by applying groundbreaking data science techniques on the industry’s largest volumetric database of mobile app data. Prior to Mobilewalla, Datta founded and ran Chutney Technologies, acquired by Cisco Systems in 2005. He has also been on the faculties of major research universities and institutes in the United States and abroad, including Georgia Institute of Technology, University of Arizona, National University of Singapore, and Bell Laboratories. Datta obtained his undergraduate degree from the Indian Institute of Technology (IIT) Kharagpur, and his MS and Ph.D. degrees from the University of Maryland, College Park, he resides in Atlanta.
Anneka Van Scoyoc is a graphic designer at the Population Reference Bureau (PRB) in Washington, DC. She has a master’s in International Relations from the University of Chicago and has been working in the international development field for the past five years where she uses a blend of data visualization, graphic design, and user experience design to tackle population data visualization challenges. Anneka volunteers for Viz for Social Good as a community team board member. She has been working remotely and traveling for the past two years, although these days she is mostly based out of Raleigh, NC.
Aziz Lookman is the Chief Analytics Officer at RationalAi. He develops solutions for managing operational, credit and insurance risks by leveraging human intuition with the analytical power of AI. Previously, he was the Chief Risk Officer for Amazon Lending, an AI-based multi-billion dollar small business lending program; advised financial institutions on credit risk litigation; formed AIG’s analytics group that used AI to facilitate underwriting of 1Bn+ of premiums; and, quantified risk of asset-backed securities at Moody’s. Aziz has also been a professor at Carnegie Mellon University and advised the US EPA. Aziz earned his Ph.D. in finance from Carnegie Mellon University and his B. Tech from the Indian Institute of Technology, Bombay. His LinkedIn page is: is: https://www.linkedin.com/in/azizlookman/
Bartt Kellermann is the founder and host of Battle of the CRYPTOS and Battle of the Quants. An industry leader in Quantitative Finance, Bartt founded Global Capital Acquisitions (GCA) in 2002, a hedge fund consulting firm focused on bringing clients smart, innovative investment strategies in the alternative investment space.

At IBM, Bartt worked with various international divisions and external product innovators to create client solutions in the international TV and broadcast market. Soon after, Bartt founded Global Capital Acquisition. Recognizing a lack of coverage of the quantitative finance community, Bartt started Battle of the Quants. Having featured notable speakers such as Nassim Taleb, Emanuel Derman, and Paul Wilmot, Battle of the Quants brings together some of the most well respected, groundbreaking thinkers in the quantitative space in one place to discuss a vast array of quant disciplines.
Ben Adams found analytics in graduate school, where he discovered the joy of finding Truth from a mountain of Data. After completing his Master’s in Technology Management, he spent two years at the Wharton Customer Analytics Initiative (WCAI) of the Wharton School of Business at the University of Pennsylvania. As the WCAI Research Director, Ben managed data sets, projects, and helped faculty and PhD students build next generation marketing models on individual customer level data. After spending another two years as Director of Data Analytics & Reporting for Wharton’s External Affairs department ( the $100 million/year development & fundraising arm of the school), he moved to NYU School of Medicine where he was the Technical Director of the Institute for Innovation in Medical Education (among other things). In 2018, Ben decided to leave the East Coast completely and accepted the role of Chief Information Officer at The College of St. Scholastica in Duluth, Minnesota. At CSS, Ben is designing analytics solutions to help predict student enrollment and success, optimize faculty effort load, and ensure financial stability (among other things). In his spare time, Ben enjoys writing & teaching SQL and R code… in that unending search for Truth from a mountain of Data.
Bruce is a leader of IBM Services’ Cognitive Business Decision Support practice, with an emphasis on big data and analytics consulting. He is an accomplished senior business executive with more than twenty years of consulting experience and a proven track record of enabling Fortune 100 companies make better decisions and optimize performance by combining strategy, information management and advanced analytics to address important and complex business opportunities.
Cortney Harding is an award-winning pioneer in the virtual and augmented reality space. She and her team at Friends With Holograms created the ground-breaking AvenueS social work VR training, which was named “Best VR/AR” at Mobile World Congress and was a finalist for a SXSW Innovation Award. Her “Can’t Win” workplace inclusion VR piece was named a top HR product by HR Executive, and her agency clients include Accenture, DDI, Coca-Cola, Verizon, and the Air Force.

In an era where many enterprise VR designers lean on outmoded ideas and churn out non-interactive or unrealistic content, Cortney pushes the medium forward with innovative ideas and cutting-edge technology. She created some of the first voice-activated VR training and works with acclaimed VR directors to make sure the work is high-quality and cinematic as opposed to bland and boring.

Cortney has spoken about VR and AR at several events, including SXSW, Laval Virtual Asia, Brandfest Budapest, and Augmented World Expo. Her writing has appeared in Billboard and AdWeek, among many other publications. She has led workshops for companies like Verizon and Coca-Cola and pioneered the five day “VR/AR Jumpstart” program, which takes clients from idea to MVP in one week.

She is the author of two books on the intersection of music and technology and has taught at New York University. Prior to founding Friends With Holograms, she led business development for award-winning (Emmy, Cannes Lion) VR production company Moth+Flame, working with AT&T, MTV, and Discovery Networks. Previously, she led business development for several music technology startups and served as the music editor of Billboard
Daniel Gremmell is the VP of Data Science at Plated and CEO at Business Science Solutions, LLC. He is an experienced data science leader focused on generating value in the form of product enhancements or process automation through data science. Daniel has an MS in Statistics from Rochester Institute of Technology, an MS in Manufacturing Engineering from Kettering University and a BS in Operations Management from Rutgers. He started off his career working in operations for businesses from multiple industries including consumer goods, aerospace and automotive with companies such as Crane Aerospace and Volkswagen. Holding multiple positions in supply chain, manufacturing and distribution, Daniel is a Six Sigma Black Belt and helped implement process savings with data resulting in large operational savings. Daniel later transitioned into data science and has set up numerous data science organizations in different industries. Daniel has worked on numerous projects in marketing, content, operations and product to implement data science and machine learning in large organizations with applications in supply chain forecasting, marketing segmentation and optimization, product recommendations and text prediction. Daniel’s passion lies in solving challenging problems and building machines to make decisions in the value chain resulting in numerous autonomous entities that optimize a consumer experience and reduce employee overhead.
Deepna Devkar is Vice President of Data Science & Engineering and heads up the Data Intelligence team. She works to understand the CNN audience across devices and build recommendation systems that increase user engagement across all CNN brands.

During her career in data science, she has primarily worked in the media industry, both as a hands-on IC (individual contributor) and as a manager responsible for building and leading cross-functional teams.

Prior to joining CNN, Devkar started as Vice President of Data Science Products for WarnerMedia, where she led a team of data scientists, engineers and product managers to build scalable data science products across WarnerMedia’s brands. She also held positions at Viacom and Dotdash (formerly About.com) where she attained expertise in the linear TV space and digital media and publishing landscape, respectively. Before her transition into data science, she spent over a decade in scientific research, studying the psychological and neural underpinnings of human behavior.

Recently, she was recognized for her contribution as Folio’s Top Women in Media, Corporate Champion in 2018. Devkar has enjoyed working on projects ranging across audience segmentation, content recommendation and personalization, search engine and revenue optimization. She is most passionate about evangelizing data science and regularly speaks at meetings and conferences.

Devkar received her Ph.D. in computational neuroscience from the University of Texas, and also holds a master’s and bachelor’s degree in psychology. She moved to New York to pursue a post-doctoral fellowship at New York University. She ended up leaving academia but has made New York her new home.
Eli is the Design Leader of Airbnb’s Data Platform, Data User Experience discipline, Data Design System, and the founder of Airbnb’s Indigenous Peoples, diversity group. He has a passion for creating world-class data experiences, making data actionable, and multiplying the velocity of organizations. Prior to Airbnb, Eli was a Senior Product Designer at Salesforce, where he worked on analytics and design systems. Bill Murray once saluted him, and Beyoncé came to one of his art shows. Talk to him about outer space and coffee.
Ernie is SVP of Products at MANTA, focusing on solutions for lineage and metadata integration. He has over thirty years of experience in the data integration space, including twenty-plus years at IBM, working in a variety of roles with responsibilities in product management and technical sales support. For most of the past decade Ernie has been providing guidance in information governance and helping architect custom lineage solutions. Earlier in his career, Ernie was building decision support systems with fourth generation languages and data access middleware. Ernie maintains a blog on open metadata, data lineage and overall metadata management and governance.
He is a graduate of Boston College.
While not pursuing MANTA initiatives, working on his blog, or spending time with family, Ernie enjoys woodturning and motorcycles.
Fred Beltrami -Fred serves as Bloomberg’s Chief Risk Officer and focus on providing risk and information security controls, assurance of processes, the best people and technology to ensure the appropriate governance, risk and control frameworks are in place to protect of our clients and colleagues – while continuously improving them. My combined organization is dedicated to adding value through delivering premium security as a service to Bloomberg. We understand the risk associated and are the eyes of our colleagues and clients. We gain and keep trust, while creating a strategic and positive commercial impact – renewing and expanding the use of Bloomberg’s offerings. My team thrives on excellence and innovation – we leverage tools and technologies to drive decisions through data analytics and automate risk management activities.
Gildas Bah is a Data Scientist with nearly 15 years of experience in data analysis. His leadership roles in projects successfully accomplish business goals and solve challenging problems. He has an MBA and a Master’s Degree in Actuarial Science. He currently is on the Data Management team at Harvard Business School Online. Gildas has a passion for sharing his expertise in order to advance Data Science initiatives and data science methodologies.
Haftan Eckholdt, PhD. is Chief Data & Chief Science Officer at Understood.org. His career began with research professorships in Neuroscience, Neurology, and Psychiatry followed by industrial research appointments at companies like Amazon and AIG. He holds graduate degrees in Biostatistics and Developmental Psychology from Columbia and Cornell Universities. In his spare time he thinks about things like chess and cooking and cross country skiing and jogging and reading. When things get really really busy, he actually plays chess and cooks delicious meals and jogs a lot. Born and raised in Baltimore, Haftan has been a resident of Kings County, New York since the late 1900’s.
As part of the first Merchant technology data science team at Walmart Labs, Hamza has worked to help create a data-informed culture at the company. During his tenure, he led the first ever data science to make assortment, pricing and replenishment recommendation in stores, eventually owning the PnL for them. Currently, he leads multiple data science team, responsible for building machine learning & optimization algorithms to help merchants make better decision.
Hi, I’m Hilary.

Simply: I make beautiful things with data.

I’m the Founder of Fast Forward Labs, a machine intelligence research company, and the Data Scientist in Residence at Accel. Previously, I was the Chief Scientist at bitly. I also co-founded of HackNY, co-host DataGotham, and am a member of NYCResistor.

More:

I believe technology should give us superpowers.

At Fast Forward Labs, we are building those superpowers.

I’m a Data Scientist in Residence at Accel, where I get the chance to advise companies large and small on their data strategy.

I spent four years as Chief Scientist at bitly, where I led an amazing team that studied attention on the internet in realtime, doing a mix of research, exploration, and engineering.

I co-founded HackNY, a non-profit that helps talented engineering students find their way into the startup community of creative technologists in New York City.

I’m an enthusiastic member of the larger conspiracy to evolve the emerging discipline of data science.

I’m a native New Yorker and I love this city and the technology community here.

I am an advisor to a few organizations that I adore, including Mortar, knod.es, collective[i], and DataKind. I’m a mentor to Betaspring, the Providence, Rhode Island-based startup accelerator, and the Harvard Business School Digital Initiative.

I was a member of Mayor Bloomberg’s Technology and Innovation Advisory Council, which was a fascinating way to learn how government and industry can work together.

I’ve received a few honors, like the TechFellows Engineering Leadership award, and was on the Forbes 40 under 40 Ones to Watch list and Crain’s New York 40 under Forty list. I’ve also been in Glamour, the WSJ, Fast Company, Scientific American, and more, which has made my mother very happy.

I like to give talks, and have spoken about how to replace yourself with a very small shell script, on e-mail hacking, machine learning: a love story, and more.

I also keep a fun mostly photo-oriented blog of mostly New York adventures at hilary.nyc.
Ilan is the Head of Data at TrialSpark where he’s helping to modernize the clinical drug trial process in order to bring treatments to patients who need them, faster. Previously he led the Data team at Paperless Post and before that was a Data Scientist at Squarespace. He holds a Master’s in Statistics from Duke University, loves thinking about numbers and philosophy, mapping optimal bike routes around NYC and running around the park with his 3 year old.

Isaac Wagner is Sr. Director of Analytics group at Memorial Sloan Kettering Cancer Center. We employ Operations Research, Machine Learning, Software Engineering, and Design to advance the strategic and clinical and operational objectives of the institution. Strategy Analytics won the INFORMS Prize for “repeatedly applying the principles of advanced analytics and operations research / management science in pioneering, varied, novel, and lasting ways.” Isaac has a MS in mathematics from New York University, has published on comparative effectiveness and cost research, and is passionate about developing novel ways to use data to rethink how we deliver cancer care.
Jacob is a Visual Analytics Engineer at Spotify, building tools helping data scientists, product designers, and engineers integrate analytics into product development. He also serves as a co-leader of the NYC Tableau User Group as well as a Tableau Public Ambassador. Jacob has been twice selected for the Information is Beautiful Awards shortlist, and competed in Iron Viz at the Tableau Conference in 2017.
Joshua Korenblat is an Assistant Professor of Graphic Design at the State University of New York at New Paltz, where he teaches data visualization and illustration. Joshua also teaches a liberal arts course in design literacy, theory, and practice. At SUNY New Paltz, Joshua serves on the Digital Humanities Board and is a Sustainability Faculty Fellow. Joshua has seven years of experience in the Art Department at National Geographic magazine and Science News. Joshua is also a co-founder and Art Director at Graphicacy, an information graphics and data visualization firm based in Washington, DC. Joshua volunteers for Viz for Social Good as the Education Lead.
Dr. JT Kostman is a Data Scientist, Mathematician, and Psychologist. He has been recognized as one of the world’s leading Data Strategists and experts on Applied Artificial Intelligence. JT has tracked criminal networks for the FBI, hunted terrorists for the CIA, led social media analysis and strategy for the 2012 Obama Campaign, and has directed investments of hundreds-of-millions of dollars in frontier technologies. In the private sector, JT served as Chief Data Scientist for Samsung, Chief Data Officer for Time Inc., and is now serving as CEO of ProtectedBy.AI where he and his team Protect People, Property, Places – and Profits – with AI-Enabled Solutions.
Kate Strachnyi is a recognized Tableau expert and instructor. She has extensive experience both using and teaching Tableau. Her course at Udemy – Tableau Visual Best Practices: Go from Good to GREAT! Is one of the most popular Tableau courses on the platform. She regularly teaches Tableau courses for major financial institutions and other clients.
She has written several books including: The Disruptors: Data Science Leaders and Journey to Data Scientist. Additionally, Kate holds the Tableau Qualified Associate certification for both Tableau Desktop version 9 and 10. She holds a B.B.A from Baruch College in Finance. Kate is an active member of the data community, as the host of Humans of Data Science and Datacated Weekly from Story by Data.

Ken is Director of Product at The Associated Press, driving new product development around emerging platforms and local media. He is proud to work alongside a talented team of journalists, helping to ensure their stories get delivered to the right audiences in the right way. He is particularly passionate about data journalism, voice interfaces and multimedia journalism.

Prior to AP, Ken was a Product Manager at The Nielsen Company where he managed social media analytics products.

Ken is a computer science graduate from Villanova University and is actively involved in organizations like NYC Media Lab and YearUp.
Kendell Timmers has a passion for all aspects of data and analytics. She is the Data and Insights VP for Advertising and Growth for the New York Times, where she manages the data, processes, and analytics associated with digital advertising and subscription growth, working closely with her colleagues across the company to increase revenue from advertising and subscriptions at NYT.

Prior to joining NYT, Kendell owned the US prospect data for American Express, where she ran all capabilities and data associated with card acquisition, managed AXP’s DMP strategy, and implemented on-site personalization. Her experience ranges across many aspects of data analytics, including a patent for a type of entity graph.
She holds a masters degree in Operations Research from MIT as well as a degree in Business from UNC Chapel Hill.
Kimin Oh is a Data Scientist at Samsung Research in the Data Analytics Lab. He graduated with a Ph.D. from Korea Advanced Institute of Science Technology in 2017. He analyzed various types of bio and medical data using machine learning methodologies to discover mechanisms of diseases and predict candidates of drug targets. After graduation, he have been worked on Samsung Research. Now he is in the Sell-out Forecast Intelligence T/F. He has been developing AI-based model for forecasting demand of products.
Laura Hamilton has an undergraduate degree in mathematics from the University of Chicago, and a masters in computer science with specialization in machine learning from Georgia Tech. She has worked as a product leader at five tech companies at various stages of maturity, from pre-funding startup to publicly traded. At Rally, she is leading the product team rolling out machine learning based personalization to the digital platform.
Lukman is the ML/AI Solutions Lead for Google Cloud. He works with customers across Google Cloud to enable business applications in AI and ML. He also speaks regularly at conferences around the world about Google’s AI technology, such as the keynote at the World AI Summit, the Disney Datathon, McKinsey Analytics Forum, and Google Cloud NEXT conferences.

Lukman joined Google in January of ‘17 after acting as CTO for a series of New York startups in education technology, AI and speech recognition. Most recently he was the founding CTO and Chief Product Officer for Acrobatiq, a spin-out of the Open Learning Initiative at CMU, providing machine learning analytics and courseware for both on-ground and online universities. Prior to that he was CTO of Neverware, a startup that builds virtual desktop servers for high schools.

Earlier in his career he worked in the speech recognition space, building call center front-ends using VoiceXML. At Viecore Lukman created a universal voice application and analytics framework which was acquired by Nuance, and still used to build, deploy, analyze and tune their speech enabled call center apps. His first startup in 2007 was a voice-driven virtual assistant for small business that was a little ahead of the market.

Lukman did his PhD work in Computer Science at UC San Diego, doing computer vision research at JPL in the Machine Learning systems group. As an undergrad at MIT in Cognitive Science and Computer Science he worked on multi-layer neural networks before it was called “deep learning.” His academic interests have always centered on the intersection of Cognitive Science and Computer Science.
Marie Sbrocca leads research for Airbnb’s Data Platform organization and data user experience. She is excited about creating better outcomes with data and machine learning by leveraging an understanding of human cognition, trust, and fairness/bias. Marie’s background is in human-computer interaction and cognitive science. Her past experience includes UX research on developer experience at Facebook, a fellowship at The Atlantic, where her work focused on digital media, and a variety of adventures with startups. Outside of work, Marie is extremely passionate about long-distance running, mountaineering, and creating experimental art.
Mark has a passion for all aspects of business transformation and human-centric design. He has spent much of his career focusing on driving improvements across organizational culture, business infrastructure, customer experience for global organizations. Over his career, he has worked with brands such as Standard and Poor, TIAA, DuPont, Armstrong World Industries, Oji Holdings, and AstraZeneca. He volunteers as an advisor to the Philadelphia startup community and guest lectures at Wharton Business School. Mark currently is the Head of Global Analytics Products and Services GlaxoSmithKline
Michael Phillippi has more than three decades of experience in software engineering across a variety of industries, including finance, transportation, internet commerce, insurance, manufacturing, and retail in North America and Western Europe. Michael currently serves as Vice President of Technology for Lytx, a leading global provider of video telematics, analytics, safety and productivity solutions for thousands of commercial and public sector fleets. Michael’s responsibilities span AI, in-vehicle devices, in-vehicle technology integration, firmware, software, data science, data center operations, ERP, analytics and reporting.
My work has included a number of positions and side projects that all advance the respect for human information. We work to raise awareness and create tools that promote quality, integrity, respect and asset level possibilities for information assets. I have a passion for building better technology that matters. I also work closely with families, executives, innovators and dreamers at all levels and in businesses & organizations at all stages to support the combination of policy, practice and tools.
Mihaela Nistor is the Head of the Enterprise Risk Management program at Bloomberg. She drives the technology innovation, program governance, and management practices necessary to identify, evaluate and monitor the company’s operational and strategic risk. Prior to her role at Bloomberg Mihaela was the Chief Risk Officer for HSBC Private Banking for North America and Latin America, and held Compliance and Operational Risk leadership roles at HSBC and Citigroup. She has more than 30 years of experience in a variety of roles in the Technology and Financial Services industries. Mihaela holds a Master’s Degree in International Affairs from Columbia University, and is a graduate of the Harvard Business School General Management Program. Her LinkedIn page is: https://www.linkedin.com/in/mihaelanistor1/
Mike now has the dual role of Vice President of our new Mount Sinai Enterprise Data Science Center of Excellence and Chief Data and Analytics Officer. In this role, Mike will lead the data science and informatics functions for population health and the Mount Sinai Health Partners IPA, but will also build out our analytics Center of Excellence function that supports broad Health System initiatives. The Center of Excellence will serve as a key resource to executives, physicians, directors, and other staff who are aiming to build data science and analytics expertise within their functional areas through development and deployment of training, support in mentorship programs for analytics staff and project support through staffing.



Mike joined Mount Sinai in 2015 to build and lead the data science and informatics function within population health. In that role, he built both actuarial and clinical informatics groups of data science analysts and engineers, turning data into powerful visualizations, analytics and predictive models to support our population health initiatives. In 2018, Mike was named to the Top 50 Data & Analytics Professionals in North America list and in 2019, the Top 100 Data Innovators list by Corinium Global Intelligence. Prior to his time at Mount Sinai, Mike served as Chief Analytics Officer at Affinity Health Plan, and in other analytics executive roles at various leading health systems, including Geisinger and Northwell.


Originally from Huntington Beach, CA, Mike has an Industrial and Systems Engineering degree from the University of Southern California, a PM certification from Harvard Graduate School of Public Health and most recently received his MsBA from NYU Stern School of Business.
Michael manages the data science team at WW (the new Weight Watchers). His team builds data products to serve millions of members across all areas of the business. He helped develop Primrose, WW’s open source machine learning framework, which drove the development of production social-media recommenders, membership models, and recipe recommenders. Before joining WW, Michael received a PhD in computational materials science at the University of Rochester and worked as a data science consultant where he built optimization and machine learning systems for organizations in media and tech.
Nathan Susanj is a data science manager within Wells Fargo’s Artificial Intelligence Model Development Center of Excellence. He leads the Natural Language Processing (NLP) and Speech Capabilities Development, where he is focused on building out Wells Fargo’s capabilities in areas related to NLP, deep learning and data science product design. Nathan holds a Masters in Predictive Analytics from Northwestern University and is working on his second Masters in Computer Science from Georgia Tech. He has been with Wells Fargo for the past six years and worked in marketing analytics prior to his current role.
Nir Yungster is the Director of Data Science and Product Analytics at JW Player, leading research and development efforts on a variety of SaaS products for online video publishers. Those products include video recommendations, thumbnail optimization, ad performance optimization, and the company’s namesake video player which is used for 5% of video plays across the web. Prior to joining JW Player, Nir worked on recommender systems at YouNow, a livestreaming social media app. Nir holds an aerospace engineering degree from Princeton University and worked at the Marshall Space Flight Center in Huntsville, Alabama in the propulsion fluid dynamics group. He received his Master’s in Applied Mathematics from Northwestern University, where his research focused on complex systems and stochastic modeling of cancer epigenetics. Originally from Israel, Nir grew up in Cleveland, Ohio. He has worked as a data scientist in New York City since 2014.
Patrick leads data science at Hopper, extracting insight and generating value from the large volumes of travel data that Hopper collects. He is a leading global analytics practitioner with a wealth of experience in real-world delivery of customer insight, predictive analytics and behavior modeling, as well as a pioneering innovator in uplift modeling research.
He was one of the founders of Quadstone Inc, a predictive customer analytics company, since acquired by Pitney Bowes Software, where he developed high-performance parallel engines for generalized additive models.
Patrick holds a PhD in mathematics and statistics from the University of Edinburgh, where he studied optimization based on evolutionary algorithms, following an HBSc in continuum mechanics from the University of Western Ontario.
Rahul Tyagi Analytics practitioner focused on building scalable, agile and adaptive analytics strategies for a truly global organization using a blend of traditional approaches as well as newer paradigms like Machine Learning, Big Data, Internet of Things/Connected Consumer. Creating intellectual property using science-driven techniques to enable measurable performance improvements.
Reza Shiftehfar currently leads Uber’s Hadoop Platform teams. His teams help build and grow Uber’s reliable and scalable Big Data platform that serves petabytes of data utilizing technologies such as Apache Hadoop, Apache Hive, Apache Kafka, Apache Spark, and Presto. Reza is one of the founding engineers of Uber’s Data team and helped scale Uber’s data platform from a few terabytes to over 100 petabytes while reducing the data latency from 24+ hours to minutes. Reza holds a Ph.D. degree in Computer Science from the University of Illinois, Urbana-Champaign with focus on building Mobile Hybrid Cloud applications.
Ruchir is Software Engineer at NASDAQ’s Machine Intelligence Lab. He works on designing and developing optimized data-pipelines and platforms for processing complex time-series data. His specific area of interest is in innovative implementations of big data solutions with cloud and open-source technology while maintaining security and performance. He holds Masters of Science degree in Computer Science from University of Massachusetts, Lowell.
Sarah is an Analytics Platform Strategist for SAS. Previously, she spent five years at SAS as an Analytics Advisor, working with customers on the west coast on how to leverage their data to drive decision making. Prior to joining SAS, she was the Vice President of Research for the International Institute for Analytics, advising clients worldwide in the healthcare, retail, banking and manufacturing industries. She also has 20 years of experience in the government sector in a wide variety of data scientist, policy, and leadership roles. Sarah has a degree in Mathematics, an MBA and a Masters Science in Analytics. She is passionate about cycling and has two daughters, one of whom is successfully launched into the real world.
Sumeet Singh is the Vice President of Big Data, AI, and Location Platforms at Yahoo (now Verizon Media). Sumeet is considered an early leader of the big data movement, responsible for launching and scaling most services for Yahoo’s Hadoop platform since 2011. He has more than 20 years of experience in the high-tech, media, and telecommunications industries. Connect with Sumeet on Twitter @sumeetksingh.
As Head of Data Science at Getty Images, Thomas Vicent utilizes data to optimize Getty Images’ understanding of the customer lifecycle and leads the organization in the use of data science and engineering across the business. An experienced statistician and data scientist, Thomas works with Getty Images’ Global Demand Generation, Digital Marketing and Sales teams to help maximize revenue, and ensure that both internal and third-party data are leveraged in the most appropriate and efficient way.
Prior to this role, Thomas worked as a Senior Data Science Engineer & Technical lead at DigitalOcean where he was instrumental in overseeing a variety of machine learning based projects focused on Customer Service, Fraud Detection and Marketing/Sales. Thomas also worked as a Data Scientist at Dow Jones, where he designed customer-centric machine learning pipelines and created a customized search algorithm as a product to replace third-party tools. Thomas obtained a Ph.D. in Biostatistics from the University of Bristol, which was preceded by an MSci in Mathematics & Physics and an MRes in Complexity Sciences.
Tim Sale is a Big Data Cloud Consultant and Team Lead at Google Cloud. For the past two years, Tim has been working with some of Google’s most strategic customers to design and deploy transformative data platforms into the Google Cloud Platform. Previously, Tim ran the European operations for edge-cloud provider Fastly.
Valerie Kroll In my current role as an Optimization Director at Search Discovery, I specialize in helping our clients build and scale their optimization programs. As a former market researcher, I’m passionate about infusing VoC and other qualitative sources of insight into optimization strategy. And as a true believer in Radical Candor, I embrace the tough conversations that come with the change management necessary to truly invest in a test and learn culture. From building out evidence-based hypothesis libraries, to leveraging the advanced features within the software platforms such as AI and machine learning to drive personalization, I focus on solutions and techniques that help our clients achieve meaningful and lasting business results
Vanitha currently serves on the Viz for Social Good Board and is the President of the Toronto Chapter, which is the first of its kind in Canada. She has over 20 years of experience developing Data & IT strategies, delivering enterprise data management solutions and enabling business intelligence and analytics to drive business outcomes. She believes in the power of data and analytics to serve the greater good and is committed to making a social positive impact.