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Ming Fong

I am a Quantitative Researcher at Headlands Technologies in Chicago where I work on high frequency trading strategies.

I graduated from UC Berkeley in 2024 with degrees in Physics and Computer Science.

As an undergrad, I was apart of the Nachman Group at Berkeley Lab where I worked on transfer learning for particle physics simulations and applied graph neural networks to deep learning for pion reconstruction. I did internships at Balyasny, DeepMind, Two Sigma, Voloridge, AI Dynamics, and Microsoft in Research and Engineering roles.

On campus, I was involved in Traders at Berkeley and the Student Association for Applied Statistics.

In my free time, I play table tennis 🏓, tennis 🎾, and badminton 🏸.



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