“A Diffusion Model to Shrink Proteins” – Best Paper at MoML 2025, Best Paper at ExAIT Workshop, Pitch Award at GenBio Workshop
“Training Flexible Models of Genetic Variant Effects...” – Oral at ICML 2025; Oral & 2nd Best Paper at AI4NA Workshop; Oral at MLCB
“Bayesian Optimization of Antibodies...” – Spotlight at ICLR 2024; Outstanding Poster at AIDrugX
“Manufacturing-Aware Generative Model Architectures...” – Top 4 paper at MoML 2024
“A generative nonparametric Bayesian model for whole genomes” – NeurIPS 2021
“Why Masking Diffusion Works...” – Accepted to NeurIPS 2025
“Kernels with Guaranteed Flexibility...” – Published in JMLR 2025; Student Research Award NESS 2023
“Non-identifiability and the blessings of misspecification...” – Oral Presentation at NeurIPS 2022
Multiple publications in top venues including ICML, NeurIPS, ICLR, JMLR, and arXiv, covering generative models, diffusion models, sequence modeling, causal discovery, and model evaluation