Founder at SuperRadiant. PhD in Physics from Brown, where he invented novel algorithms to discover phase transitions in random-field Ising models, in addition to using micro and nanofluidics to study analogous system experimentally. Research experience at NASA JPL and CERN/LHC. Trained in nanofabrication, microfluidics, and ML methods including PINNs and reinforcement learning.

PhD candidate in Physics at Brown University. Created ALBERT, an autonomous AI particle physicist that proposes, verifies, and iteratively refines physics theories; given pre-1990 data, it recovered the top quark's mass and properties in under an hour. Previously researched neutrinos at Fermilab on the NOvA experiment. Featured in APS Physics Magazine: https://physics.aps.org/articles/v19/119

Founder at SuperRadiant. PhD in Computer Science from Brown University where I researched generally capable, verifiable robots and spatial world models. Previously developed AI systems that combined learning, reasoning, and planning for long-horizon autonomy at the Boston Dynamics Robotics & AI Institute.