Founding Director
Leads long-horizon research strategy across AI, statistical learning, and scientific modeling.
A lean team organized around methodological rigor and cross-domain collaboration.
Leads long-horizon research strategy across AI, statistical learning, and scientific modeling.
Develops optimization and calibration methods for robust deployment in noisy scientific data settings.
Focuses on representation learning and interpretable inference across sequence and clinical modalities.
Builds research infrastructure for scientific language systems, retrieval, and evaluation.
Produces proofs, convergence analysis, and formal frameworks to support model claims.
Periodic contributors from partner labs and universities working on focused publication arcs.
We occasionally recruit for research internships and full-time positions in ML theory, scientific NLP, and computational biology.
Send a CV, selected papers, and a brief statement describing one question you want to pursue.