Published multiple working papers such as 'Hedging the AI Singularity' (R&R Critical Finance Review), 'Optimal Post-Hoc Theorizing', 'High-Throughput Asset Pricing or: How I Learned to Stop Worrying and Love Data Mining', etc. Also collaborated on research, for instance, co-authored 'High-Throughput Asset Pricing' with Chukwuma Dim, and 'Does Peer-Reviewed Research Help Predict Stock Returns?' with Alejandro Lopez-Lira and Tom Zimmermann.
Research Experience
Involved in several research projects, including studies on using AI to hedge risks, optimal post-hoc theorizing, high-throughput asset pricing, etc.
Background
Research interests include finance, artificial intelligence, and statistical learning. Specializes in financial economics.
Miscellany
Featured on the Excess Returns podcast discussing his research; presented at the FutFin.Info webinar.