ENSAI Welcomes Perry de Valpine from UC Berkeley

ENSAI is pleased to welcome Perry de Valpine from the University of California, Berkeley this week.

Perry de Valpine, both an ecologist and statistician, has been invited by Marie-Pierre Etienne, associate professor and researcher at ENSAI and CREST – Center for Research in Economics and Statistics, in collaboration with l’Institut Agro Rennes-Angers.

Today, he gave a two-hour lecture on “Statistics and computing for ecology and conservation” to third-year engineering students specializing in hashtag#Biostatistics and Advanced Statistical Engineering.

Perry de Valpine is known for developing NIMBLE (Numerical Inference for statistical Models using Bayesian and Likelihood Estimation), which proposes very efficient and flexible Bayesian or frequentist estimation potential.

This event was a great opportunity for our students to meet a leading researcher working at the crossroads of ecology and statistics, and to hear firsthand about the ideas behind NIMBLE.

Learn more about research at ENSAI and CREST