Yoav Zemel

Yoav Zemel is a Lecturer at the École polytechnique fédérale de Lausanne (EPFL), affiliated with the School of Basic Sciences and Department of Mathematics. He specializes in statistical aspects of optimal transport and related geometric methods.

• B.Sc. Mathematics & Economics, Hebrew University of Jerusalem (summa cum laude, 2010)
• M.Sc. Applied Mathematics, EPFL (2012)
• PhD Mathematical Statistics, EPFL (2017), advised by Victor M. Panaretos

His research focuses on geometrical statistics, point processes, shape theory, and optimal transportation. Recent work explores covariance operators, Gaussian processes, and stochastic algorithms in Wasserstein spaces. Publications bridge theoretical advancements with applications in ecology, genetics, and machine learning.

Scientific awards include the Robert May Prize, Swiss government scholarship, and multiple Hebrew University honors. He has taught courses on probability, statistical machine learning, and optimal transport at EPFL, Göttingen, and Cambridge.