Chris, a computer scientist turned bioinformatician, passionately models biological mechanisms using machine learning. He's advanced bio-sequence representation learning, contributing to its establishment, notably in transformer models. Chris is dedicated to solving scarce data problems, such as designing proteins for therapeutic and industrial applications.