Yves Atchade

Professor Yves Atchade is a faculty member at the Department of Mathematics and Statistics at Boston University, holding the Duan Family Faculty Fellow of Data Science position. He leads the FORMES research group focused on statistical methods for environmental sciences. His work bridges probability, high-dimensional computation, and applied environmental modeling.

• Current projects include large-scale Bayesian inference, deep learning for rainfall prediction in West Africa, and inverse problems in remote sensing.
• Collaborations with institutions like ENSEA, Abidjan and the TAHMO Foundation drive environmental sensor network deployments in Côte d'Ivoire.

His research emphasizes MCMC algorithm design and unbiased Monte Carlo methods, with applications spanning environmental science, machine learning, and high-dimensional statistics. Recent publications explore unbiased MCMC, cyclical sampling, and Bayesian PINNs.

Scientific contributions include:

• Unbiased MCMC with Couplings (2020)
• High-dimensional Bayesian Computation (2018)
• Efficiency bounds in semiparametric models (2020)
• Adaptive MCMC Confidence Intervals (2016)

He actively mentors students and postdocs, with methodological developments in Markov chain theory, stochastic optimization, and Monte Carlo variance reduction. The FORMES group welcomes inquiries from prospective researchers via email at atchade@bu.edu.