Quantitative researcher at Vatic Investments, working on machine learning and AI agents for trading research. I graduated from MIT in 2025 with a B.S. in Artificial Intelligence and Decision Making (6-4). Before Vatic, I did research in MIT CSAIL's Geometric Data Processing Group on neural networks for image rendering.
Updates
- Aug 2025Joined Vatic Investments full time as a quantitative researcher
- May 2025Graduated from MIT with a B.S. in Artificial Intelligence and Decision Making (6-4)
- Summer 2024Quantitative research intern at Vatic Investments
- Summer 2022Data science intern at Take Mobi
- Spring 2022Undergraduate researcher (UROP) in MIT CSAIL's Geometric Data Processing Group, working on neural networks for image rendering
Projects
I am interested in AI agents that automate parts of research, robot learning and embodied AI, and longevity.
Autonomous Vehicle
TL;DR: LiDAR particle-filter localization, pure-pursuit control and computer vision on a small autonomous vehicle.
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I built the autonomy stack for a small vehicle that drives a course on its own: a particle filter that localizes it from LiDAR scans, a pure-pursuit controller that tracks the path at speed, and a vision pipeline that reacts to what the camera sees. Our vehicle took first place in the final competition.
Neural Rendering and Super-Resolution
TL;DR: Fourier-based neural networks in PyTorch that predict pixels to render images at higher resolution.
TL;DR: LLM-agent systems and machine learning models for systematic trading research.
Music
Friends
Personal sites from friends. Have one of your own? Send me the link and I'll add it here.