Will Thrift

Will Thrift is a Principal Artificial Intelligence Scientist II at Genentech, specializing in deep machine learning for large molecule drug discovery. They developed a pioneering deep learning method for ranking neoantigen immunogenicity, marking the first bioinformatics drug discovery method utilized in a clinical trial by Genentech. Will's PhD focused on applying deep machine learning in analytical chemistry, particularly for surface enhanced Raman scattering spectroscopy, while also innovating wet chemical nanotechnology methods for advanced chemical sensors. Their previous roles included positions at Bayer HealthCare and significant research contributions at UC Irvine, where they mentored students and authored multiple publications.