Andrew Nathanael Shen

Medea, an AI agent, performs therapeutic reasoning across biological contexts by preserving context, verifying steps, and reconciling evidence, outperforming existing models in multiple domains.

This paper shows that standard protein language models do not support evolutionary reasoning, but a new model trained with phylogenetic supervision performs better on tree reconstruction and clustering.

This paper evaluates how well deep learning models generalize to new molecular sequences using a new framework called SPECTRA across 18 datasets and 19 models.