About Me
Probabilistic programmer and open-source developer. Some of my previous projects/roles:
- I wrote an experimental library for modular and dynamic probabilistic programming in Rust called ModPPL.
- I was a research engineer at MIT-IBM, supporting basic research as a part of DARPA's Machine Common Sense (MCS) mission.
- I was a Master’s student in electrical engineering and computer science at MIT, advised by Vikash Mansinghka in the MIT Probabilistic Computing Project.
- During my undergraduate in Computer Science and Physics at MIT, I was a part of the Computational Cognitive Science Group directed by Joshua Tenenbaum, where I researched applications of neural networks to program induction and models of intuitive physics (fluid and rigid body).
- I also did an internship with the self-driving car startup ISEE, where I implemented GPU-accelerated convolutional neural networks for multi-modal object detection using image data and LIDAR.