[1] Matt Thomson's academic journey began at Harvard University, where he pursued his undergraduate education and graduated magna cum laude with an AB in Physics in 2001.
His doctoral research focused on the mathematical modeling and analysis of biochemical networks, aiming to understand the control mechanisms[3] behind cellular decision-making processes.
[4][5] After earning his Ph.D., Thomson received an independent fellowship at the University of California, San Francisco (UCSF), where he worked on developing mathematical methods to model cell fate determination and tissue self-organization.
[11] Thomson's research aims to understand and replicate the information processing strategies found in biological systems to develop new technologies and algorithms in fields such as machine learning, physics, and materials science.
[13] Additionally, Thomson's research includes the creation of optically programmable active materials by engineering light-switchable proteins integrated into cytoskeletal networks.