Cesar de la Fuente-Nunez

Scaling Multi-Task Bayesian Optimization with Large Language Models

PepCompass: Navigating Peptide Embedding Spaces Using Riemannian Geometry

DEL-Ranking: Ranking-Correction Denoising Framework for Elucidating Molecular Affinities in DNA-Encoded Libraries

OmegAMP: Targeted AMP Discovery via Biologically Informed Generation

Lightweight MSA Design Advances Protein Folding From Evolutionary Embeddings

From Supervision to Exploration: What Does Protein Language Model Learn During Reinforcement Learning?

Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization