Keith is a data scientist with extensive experience in rational protein design. He earned his Ph.D. in Chemical Engineering from the Massachusetts Institute of Technology and holds an M.Eng. in Chemical Engineering from Imperial College London. During his Ph.D., he developed key design principles for cancer-targeting protein therapeutics, gaining a wide range of expertise in wet lab techniques and computational methods to analyze high-throughput experimental data. He also developed automated data abstraction pipelines for large healthcare datasets, and employed machine learning techniques to make improved clinical predictions.