State-of-the-Art ML Architectures in Quant Finance
QuantVision 2026: Fordham’s Quantitative Conference
8.50 Panel: State-of-the-Art ML Architectures in Quant Finance
Transformers, diffusion models, graph neural networks—what’s hype, what’s working, and what’s next in cutting-edge ML for trading and risk? Experts will break down real-world case studies and discuss scaling these architectures without losing interpretability or control.
Moderator: Petros Zerfos, Principal Research Scientist & Manager at IBM Research
Manish Aurora, Hedge Fund Manager, Rational Investments, Michael Sotiropoulos, Princeton Professor (visiting) NYU Professor (visiting) Fordham Professor (visiting) & MD Imperative Execution, Mehul Mehta, Lead Quant, OCC, Revant Nayer, Fund Manager, Konstantin Fominykh, CFA, TenViz CEO, Fmr Chief Equity & Cross-Asset Strategist, JPMorgan, Venkat Vedam, Head of Generative Ai, Manulife
