Statistics - Economics - CS · University of Chicago
I am currently a full-ride Odyssey Scholar at UChicago. I am especially interested in AI research, financial markets, and forecasting. Philosophy ↓
I am currently a Summer Analyst at Polymarket, the world's largest prediction market. I am working on data analytics, market microstructure, and forecasting. I'm also pursuing my bachelor's thesis on prediction markets under Nobel laureate Lars Peter Hansen.
I worked as a research assistant under Brian Jabarian at Chicago Booth on Artificial Process Outsourcing. Research featured on Bloomberg News, Financial Times, and Business Insider.
I interned at Capital Markets Argentina in Argentina, a country undergoing sweeping free-market monetary reforms.
I was a visiting scientist at the Chair of Visual Computing at FAU Erlangen-Nürnberg in the historic city of Nuremberg. Our team developed a video segmentation model on Meta's SAM-2 and won 2nd place in the Google DeepMind Perception Test Challenge at ECCV 2024.
I interned as a data analyst for Gallus Insights, a banking AI/data services firm specializing in mortgage-backed securities, and worked directly with the CEO.
I served as a research assistant under Prof. Shaoda Wang and Prof. Daniel Chen at the Becker Friedman Institute for Economics to study judicial documents with LLMs.
I got the Rise Fellowship from the Rhodes Trust and Eric Schmidt, and started my undergraduate at UChicago on full scholarship.
I graduated as head boy from one of India's largest high schools, Delhi Public School RK Puram.
I worked under Prof. Bernhard Egger at MIT and FAU Erlangen-Nürnberg and published at NeurIPS when I was 14. Link
Through varied experiences, I have developed a deep appreciation for political philosophy, free market economics, and modern institutional design. I spend a lot of my time reading about classical-liberal, free-market, first-principles philosophy, and about the people building AI. I am also learning 中文. Some recommended media:
I am always open to guiding high schoolers — and beyond — in navigating opportunities, college admissions, machine learning, or life. Feel free to contact me!