About Me

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Incoming PhD student in Robotics at Purdue University’s COMMA Lab, advised by Zachary Kingston. Probabilistic programmer and open-source developer focused on dynamic inference, composable abstractions, and embodied intelligence.

Previously:

• Built ModPPL, an experimental Rust library for modular, dynamic probabilistic programming.

• Research engineer at MIT-IBM, contributing to DARPA’s Machine Common Sense (MCS) initiative.

• Completed a Master’s in EECS at MIT, advised by Vikash Mansinghka in the Probabilistic Computing Project, exploring structured representations and inference.

• As an undergrad in Computer Science & Physics at MIT, conducted research in the Computational Cognitive Science Group (PI: Josh Tenenbaum) on neural program induction and models of intuitive physics (fluids and rigid bodies).

• Interned at ISEE, a self-driving car startup, implementing GPU-accelerated multi-modal object detection using LIDAR and camera data.