Rico leads the Applied AI team at Retro Biosciences, focusing on engineering proteins for enhanced cellular reprogramming and rejuvenation. With a background in computer science and machine learning, Rico co-led the development of GPT-4b, a specialized GPT model created by OpenAI and Retro to re-engineer proteins for precise cell-state control. This model has already demonstrated double-digit-fold efficiency improvements in reprogramming assays. Previously, Rico was the first employee at Talus Biosciences, where he built computational pipelines essential for discovering drug candidates targeting gene regulatory proteins. Rico is dedicated to leveraging AI to address the fundamental causes of aging and disease.