Core Mission
What We Do
We operate at the convergence of machine learning and fundamental sciences, building open research pipelines and mentoring the next generation of researchers.
AI x Science
We aim to solve the fundamental problem of scientific discovery: how to efficiently generate, test, and iterate on hypotheses.
Undergrad Acceleration
Active research shouldn't be gated behind graduate school. We bring undergrads into core lab projects and mentor them from day one.
Open Science
We believe in open source, open data, and open science. All our tools, preprints, and datasets are fully public and accessible.
Research Tracks
Featured Initiatives
active
Noise and Order
Dveloping simple tools to explore fundamentals of neural networks. Let's understand the order within the noise.
Lead: Aman Kumar
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