Greg Adams, Ph.D.
Chief Scientist
Greg is a widely recognized data science leader who has created machine learning, NLP, and predictive analytics systems for airline, ecommerce, financial, and manufacturing clients. Greg’s work has appeared in New York Times and Washington Post.
Greg served on faculty at Carnegie Mellon University. Earlier, he was a Robert Wood Johnson Scholar at University of Michigan researching health care policy, and completed fellowships at Harvard University and Santa Fe Institute for Complexity. Greg holds a Ph.D. in political economy from University of Iowa.
Tim Amato, Ph.D.
Head of Consumer and Manufacturing
Tim builds teams and capabilities with a focus on rigorous methodology. He led data science at Cummins, the leader in commercial engines. Earlier, Tim led customer analytics at eBay and manufacturing analytics at Oracle.
Tim served on faculty at University of Washington and University of Iowa, where he developed advanced statistical techniques. Tim holds a Ph.D. in econometrics from University of North Carolina at Chapel Hill.
Philippe Berckmans
Chief Technology Officer
Philippe leads software engineering as a hands-on player/coach. He brings deep experience creating complex financial models. Philippe lead engineering at CDPQ, the Canadian asset manager, and served as CTO of a large fixed income hedge fund.
Previously, Philippe designed structured products for a large French bank, led an options trading desk for JP Morgan, and served as an engineering project officer with NATO while serving with the Belgian Air Force.
Philippe holds a BS in electrical engineering from Universite libre de Bruxelles and an MBA from Carnegie Mellon University.
Jeremy Lehman
Managing Partner
Jeremy accelerates software product innovation with machine learning, delivers IT performance improvement, and leads complex technology projects. He served as GM at Cheetah Digital, CTO for Global Equities at Citigroup, and CTO for Investment Management at Thomson Reuters.
Jeremy led engineering and operations for two of the largest private sector analytics platforms: real time market risk for a global investment bank and consumer analytics for the leading credit bureau.
Jeremy served as an infantry officer with the U.S. Army. He holds BBA and MBA degrees from University of Miami, and completed the Advanced Management Program at Harvard Business School.
Mark Wan
Chief Architect
Mark is a highly experienced architect who combines coding with developing people and teams. Mark brings depth on a broad range of technologies, and across application development and quantitative techniques.
Recent projects include quantifying sentiment toward listed companies, identifying cybersecurity risks for a large Swiss bank based on large volumes of streaming data, and enabling a large bank to comply with Basel III mandates.
Mark served in engineering leadership roles at Barclays, Nuance Communications, and Sun Microsystems.
Mark earned a Bachelors in engineering in Computing at Imperial College London.
Nenad Jevtic
Senior Engineer
Nenad brings broad experience and depth in technical skill across highly scaled data management, business intelligence, and analytic platforms. Nenad has served with Barclays, Credit Suisse, and Morgan Stanley in areas including market risk and capital adequacy modeling, credit and counterparty risk, and wealth management analytics.
Nenad holds a BS in computer engineering from Belgrade University and completed programs at King’s College London.
Kathleen Keenan
Senior Technical Program Manager
Kathleen is a highly experienced product manager for analytics and information products. She guides clients linking business goals to specific, actionable applications.
Previously, Kathleen served in senior product management roles at FactSet, NASDAQ, and Thomson Reuters (now Refinitiv).
Kathleen holds a BS in health care administration from Ithaca College and an MBA from University of Massachusetts.
Tom Offland
Quantitative Analyst
Tom organizes and expedites data science development. He leads sourcing, validating, and integrating data sets; ensures clarity of requirements; and contributes to visualizations and client training. Tom brings experience with natural language processing.
Previously, Tom served as an analyst at a global market research company where he led data capture and cleansing for bespoke analytics projects and then led the analyst technical training program.
Tom holds a Masters in mathematics from University of Warwick.