I'm currently a quantitative researcher at Jump Trading.
Outside of trading, my interests are varied and include large language models, interpretable ML, black-box optimization, feature selection, as well as causal inference.
In December 2021, I graduated with a PhD in Statistics from Stanford University where I was lucky to be advised by
Robert Tibshirani.
I worked on different problems in supervised and unsupervised machine learning, such as
LassoNet. Here's
a list of the rest of my publications.
I enjoy building websites in my free time.