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Every instance of intelligence occurring in nature is embodied. Scientific intelligence is no different. We are building general-purpose robotic experimentalists: systems that unite scientific reasoning and physical action to iterate toward discovery by observing, hypothesizing and experimenting.
Previously SuperRadiant, Primordiant (Formerly SuperRadiant)
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.
Founded 2026 · Source
Source-based assessment · automated evidence rules
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Maturity is an evidence-based assessment, not a success rating. It may understate the current stage where evidence is limited. Coverage records documented areas, not a complete or independently audited company history.