Colin LaMont is a biophysicist applying control theory and dynamic programming to problems of healthcare design. He builds mathematical models to help physicians and patients achieve agency and reach better clinical outcomes. He believes in data privacy, model transparency, and the necessity of social awareness in scientific research.
Since AlphaFold, it’s clear that the future of biophysics lies with machine learning. But the future of medicine requires more than excellent out-of-sample performance. We need clear explanations of the machine learning methods and a rigorous study of our own blindspots to build trust between AI researchers and the decision-makers. If we make a humble effort to offer solutions with respect for the doctor-patient relationship, we can change medicine in a way that improves outcomes while empowering patients.
Institutional History
Institute for Biological Physics, University of Cologne (Post-Doc 2022-Present)
Max Planck Institute for Dynamics and Self-Organization, Göttingen (Post-Doc 2018-2022)
University of Washington, Seattle (PhD 2012-2018)
Reed College, Portland (Bachelors 2007-2011)
