The toolkit behind my research — granular retail trading data, textual analysis, and natural experiments — and how I bring it to classrooms, conferences, and conversations about what AI means for finance.
Granular data on retail investor activity in equity and crypto options — order flow, volume, and pricing — to understand how the Robinhood era of trading actually moves markets.
Extracting signal from what investors say — including a grant-funded project mapping the retail trader lexicon on Reddit and its market impacts, using modern NLP and language models.
Natural experiments and careful identification — from India's crypto ban to the 2024 U.S. election — so conclusions about markets hold up beyond mere correlation.
Helping students and professionals think well alongside AI — the subject of my symposium workshop "AI as a Teammate, not a Tool" — and putting AI to work in the research process itself.
Texas State University's AI in Teaching & Learning Symposium.
35th European Financial Management Association Conference.
Southern Finance Association & Financial Management Association annual meetings.
14th International Conference of the Financial Engineering and Banking Society.
European Real Estate Society, American Real Estate Society & Southern Finance Association meetings.
FMA & SFA annual meetings — nominated for Best Paper in Investments at FMA 2023.
I speak to academic and professional audiences about AI in finance and education — what the methods can really do, where they break, and how to use them with judgment. Open to talks, workshops, and research collaborations.
Substantive sessions on retail trading, crypto markets, and AI in finance for conferences, seminars, and professional audiences.
Hands-on sessions for educators and teams on working with AI as a teammate — building judgment, not just prompts.
Co-authorship and data partnerships on retail investor behavior, options markets, crypto adoption, and textual analysis.
Tell me about your conference, classroom, or research idea — and what you're hoping to get out of it. I'll reply personally.