William DeWitt

The DeWitt lab is interested in applied probabilistic and dynamical modeling, statistical inference,
optimization, and machine learning, all grounded by questions about evolving biological systems. In
addition to innovating theoretical and computational methods, we work closely with domain experts
and experimentalists to design and analyze data and discover new biology. We work at the interface
between quantitative sciences and biology, and enjoy interdisciplinary collaborations and inclusive
scientific discourse.