Three new Tenure-Track Assistant Professors at SB

Profs. Carleo,  Lemm and Stensrud

Profs. Carleo, Lemm and Stensrud

At its meeting of 13-14 May 2020, the ETH Board has named Drs. Giuseppe Carleo, Marius Lemm and Mats Stensrud as Tenure-Track Assistant Professors at the School of Basic Sciences (SB).

Dr Giuseppe Carleo was named as Tenure Track Assistant Professor of Physics in the School of Basic Sciences (SB) from the 1st of September 2020
Giuseppe Carleo is a young researcher who has already gained international recognition in the field of many-body quantum systems. Among other achievements, he has developed a machine learning software programme which not only helps computers “learn” the quantum state of a complex physical system based on experimental observations but also enables them to predict the results of hypothetical measurements. His pioneering achievements in this promising field have already had a significant scientific impact.

Dr Marius Lemm was named as Tenure Track Assistant Professor of Mathematics in the School of Basic Sciences (SB) from the 1st of September 2020
Marius Lemm’s work focuses on problems of mathematical physics originating in quantum physics and quantum information. At just 31 years of age, Marius Lemm has already proved himself to be an outstanding mathematician whose work to date combines several mathematical areas, including operator theory, random matrices and partial differential equations. At EPFL he will set up a research group in the area of mathematical analysis and mathematical physics, further strengthening the links between mathematics and physics.

Dr Mats Stensrud was named as Tenure Track Assistant Professor of Statistics in the School of Basic Sciences (SB) from the 1st of September 2020
Mats Stensrud’s unusual career path (Master in applied statistics, Doctorate in Neuroscience, Doctor of Medicine and post-doctorate in Biostatistics) enables him to combine all these fields very creatively. He is currently conducting research in the area of biostatistics and causal inference with the aim of discovering whether a specific treatment can have a causal effect on the risk of a disease in the presence of competing risks. Mats Stensrud will further strengthen statistics at EPFL while building links with the School of Life Sciences and with Biomedical establishments in the greater area.