Understanding The Future of Machine Learning in Quantitative Finance
1.30 – PANEL DISCUSSION: Understanding The Future of Machine Learning in Quantitative Finance
Moderator: Petter Kolm, NYU Professor & Director of NYU Mathematics in Finance
Jae Ho Kim, PhD, Head of Portfolio Research, Cubist; Division of Point72, V. Zach Golkhou, Ph.D., Director of GenAI & Data Science, JP Morgan, Dimitri Bianco, Head of Quant Risk & Research Agora Data, Arun Verma, Head of Quantitative Research Solutions at Bloomberg, LP, JD Opdyke, Chief Analytics Officer, DataMineit, LLC, Eric Reiner, Professor, UCLA
QuantVision 2025: Fordham’s Quantitative Conference & Data Summit
