Assistant Professor, University of Toronto
3 papers at NeurIPS 2025
We introduce a benchmark using simulated biological systems to evaluate LLMs' scientific discovery capabilities.
We prove the asymptotic normality of PCA on the Grassmannian, and derive a tight non-asymptotic bound on its excess risk using self-concordance.
BioReason introduces a novel DNA-LLM architecture where the LLM directly processes genomic information, achieving superior, interpretable multi-step biological reasoning and accelerating mechanistic discovery.
