I studied Economics-Philosophy at Columbia University, with additional coursework in computer science, econometrics, behavioral economics, financial economics, probability, and decision theory. The combination shaped how I think about markets — as systems where information, incentives, and human judgment continually interact.
My interests sit at the intersection of valuation, trading systems, behavioral economics, and applied technology. I'm drawn to questions about how investors actually decide, how prices come to reflect (or fail to reflect) what's knowable, and how software can sharpen the work of analysts and traders.
I build small tools, write research notes, and study real positions to understand the mechanics behind the headline numbers. The goal is the same in each case: better reasoning under uncertainty.