Program

Plenary 1: Elizaveta Semenova

Elizaveta Semenova is a Lecturer in Biostatistics, Computational Epidemiology and Machine Learning at Imperial College London, Department of Epidemiology and Biostatistics. She also holds Schmidt Sciences AI2050 Early Career Fellowship. In 2019 she completed a PhD in Epidemiology at the Swiss TPH.

Her work is centered around scalable and flexible methods for spatiotemporal statistics and Bayesian machine learning with applications in epidemiology. Most recently, her focus has been on using deep generative modelling to power MCMC inference in classical spatial statistics.

Plenary 2: Florian Schäfer

Florian Schäfer is an Assistant Professor at the Courant Institute of Mathematical Sciences at New York University. He received his PhD in applied and computational mathematics at Caltech, working with Houman Owhadi. Before that, he received his Bachelor’s and Master’s degrees in Mathematics at the University of Bonn.

His research interests lie at the interface of numerical computation, statistical inference, and competitive games. His current research focus is on developing information geometric mechanics that uses the statistical physical underpinnings of continuum mechanics to design structure preserving numerical methods at the macroscale.

Plenary 3: Hong Ge

Hong Ge is a Research Professor at the University of Cambridge, where he is a member of the Machine Learning Group, part of the Computational and Biological Learning Lab in the Department of Engineering.

Together with his colleagues and he explores how intelligence works - mathematically and computationally. His current interests include Bayesian mathematics and neural networks. He also created the Turing probabilistic programming language.

Conference Dinner

The conference dinner will take the form of a cruise on lake Saimaa on the m/s Camilla on the evening of 10 September.