Machine Learning Researcher at Morgan Stanley. I earned a Ph.D. in Data Science at NYU in 2024 where I worked on fundamental deep learning: network pruning, data robustness, and the geometry of loss landscapes. I am now working on agentic systems as well as more classic ML models that automate trading and banking activities.

Previously, I earned a B.S. in Mathematics from the University of Massachusetts Amherst and had internships at Samsung AI, Bloomberg, and IBM.