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Kevin Shi is the Associate Director, Data Analytics and Machine Learning at Strand Therapeutics. Kevin’s work spans mechanistic and machine learning-based modeling of synthetic biology circuits, analytics for high throughput experimentation, and optimization of drug properties. He also brings expertise in software development for automation and process analytics. Prior to joining Strand Therapeutics, Kevin headed the computational drug design and software development program at Mytide Therapeutics, a peptide drug discovery and manufacturing company. This work entailed building machine learning pipelines for process optimization and structure-guided peptide design and developing a fully automated peptide synthesis platform. Kevin received his Ph.D. in Bioengineering from MIT under the supervision of Prof. Bruce Tidor in the Department of Biological Engineering and the Computer Science and Artificial Intelligence Laboratory. His research focused on system biology for biochemical signaling pathways and optimal experimental design. He received his B.S. in Chemical Engineering from Caltech, where he also worked on antibody-drug conjugate design under the direction of Prof. Steve Mayo.
