Cecile Ane

My main research interests are the area of statistical inference for molecular evolution and for trait evolution. This work involves graphical models using stochastic processes (discrete Markov processes or continuous diffusions), and developing tools for model selection, Bayesian inference, new models that capture enough realism but that remain computationally feasible in our Big Data era. I also develop statistical software for these methods to be applied and lead to biological discovery.

I also got interested in a number of various biological applications through statistical consulting across campus, like ecology, food science and veterinary science.