Research

We are interested in probabilistic, dynamical, and biophysical modeling, statistical inference, optimization, and machine learning. Our work in these areas is usually grounded by questions about evolving biological systems. To complement theoretical and computational innovations we also work closely with biological 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.