Dr Tom Diethe

The mission of Tom’s team is to devise innovative products and solutions using machine learning algorithms that will make the drug discovery pipeline more efficient and aid in a better understanding of biology and medicinal chemistry. Tom is a Machine Learning leader with 20+ years of experience in a mix of industry in academic roles, including Amazon, Microsoft Research, the British Medical Journal Group, QinetiQ, UCL and the University of Bristol. He has specialized in healthcare applications of ML/AI, including genomics, proteomics, digital health, and physiological measurement. He is co-author of the online first book “Model-Based Machine Learning.” Tom is also an Honorary Research Fellow at the University of Bristol, a Fellow of the Royal Statistical Society, a member of the IEEE Signal Processing Society, and serves as an Area Chair for ECML-PKDD.