Ideal Prediction creates value through combining academic engineering with a practical understanding of trading details. Trading is our firm's DNA so we understand your problems and goals and efficiently create solutions.
John founded Ideal Prediction to bring practical data science solutions to financial markets. His 20 years of trading experience is balanced: large banks and small HFTs, managing sell-side desks and proprietary trading groups, voice and fully-automated execution, and across many liquid FICC products. John has an S.B. and an M.Eng from MIT in EECS and an M.S. in mathematics from NYU. His free time is focused on family in addition to serving on the board of Broadway Technology.
Jena joined Ideal Prediction as Director of Sales in 2018 bringing 20 years experience in launching innovative financial market offerings from the first electronic treasury trading system, LibertyDirect, to the first centrally-cleared FX market, FXMarketSpace. She also works as director and producer of the upcoming documentary Absurdity of Certainty on the rise of certainty in the Western worldview, based on the life and ideas of Dr. F. David Peat. Jena serves on the Board of The Pari Center.
Peter Sand has a B.S. in Computer Science from CMU and a Ph.D. in Computer Science from MIT. His research focused on computer vision and machine learning. He has many years of experience software development in a variety of different domains,
including machine learning, robotics, and trading.
Phil Weisberg is a former CEO and division head and recognized financial markets leader. Over 25 years he has built diverse businesses leading companies through all the stages of corporate development: startup ideation, attracting strategic investors, capital raising, team-building, acquisitions, public offering, company sales, mergers, acquisitions and turnarounds. Phil’s experience includes acting as Managing Director and Global Head of Foreign Exchange, Rates and Credit at Thomson Reuters, CEO of FXall, Managing Director of LabMorgan and JP Morgan.