Three new appointments at the School of Basic Sciences
Profs A. Negut, E. Tolley and X. Lijing
At its meeting of 6-7 March 2024, the ETH Board has appointed Prof. Andrei Negut as Associate Professor of Mathematics and Drs Emma Tolley and Lijing Xin as Assistant Professors (non Tenure-Track) at the School of Basic Sciences.
Professor Andrei Negut, currently Associate Professor at Massachusetts Institute of Technology (MIT), Cambridge, USA, is named Associate Professor of Mathematics starting from the 1st of July 2024.
Andrei Negut’s research is in the field of geometric representation theory, with applications in mathematical physics, combinatorics, knot theory and algebraic geometry. He is regarded as a leading researcher in his field, has an impressive list of publications to his name, and has received numerous prizes. His appointment will complement and expand EPFL’s existing expertise in this area, and he will play a decisive role in developing the Institute of Mathematics within the School of Basic Sciences.
Andrei Negut’s research is in the field of geometric representation theory, with applications in mathematical physics, combinatorics, knot theory and algebraic geometry. He is regarded as a leading researcher in his field, has an impressive list of publications to his name, and has received numerous prizes. His appointment will complement and expand EPFL’s existing expertise in this area, and he will play a decisive role in developing the Institute of Mathematics within the School of Basic Sciences.
Dr Emma Tolley, currently Scientist at EPFL, is named Assistant Professor of Physics starting from the 1st of September 2024.
Emma Tolley conducts research in the field of astrophysics, with particular reference to radio astronomy. She leverages high-performance computing (HPC) and data science for the efficient, automated computation and analysis of Big Data produced by scientific infrastructures such as the Square Kilometre Array Observatory radio telescope. In 2023, the Swiss National Science Foundation awarded her an SNSF Starting Grant for her Deep Waves research project. Her previous experience includes working on the ATLAS experiment at the Large Hadron Collider (LHC) at CERN. This appointment will strengthen astrophysics at EPFL.
Emma Tolley conducts research in the field of astrophysics, with particular reference to radio astronomy. She leverages high-performance computing (HPC) and data science for the efficient, automated computation and analysis of Big Data produced by scientific infrastructures such as the Square Kilometre Array Observatory radio telescope. In 2023, the Swiss National Science Foundation awarded her an SNSF Starting Grant for her Deep Waves research project. Her previous experience includes working on the ATLAS experiment at the Large Hadron Collider (LHC) at CERN. This appointment will strengthen astrophysics at EPFL.
Dr Lijing Xin, currently Scientist at EPFL, is named Assistant Professor of Physics starting from the 1st of April 2024.
Lijing Xin’s research involves developing cutting-edge magnetic resonance spectroscopy techniques in order to obtain a better understanding of brain function and the pathophysiology of neurological diseases. She was awarded an SNSF Consolidator Grant by the Swiss National Science Foundation for her research in 2022. Her interdisciplinary approach to developing a new neuroimaging method that targets molecular aspects of brain networks is a good fit with the research undertaken at the Center for Biomedical Imaging (CIBM) and the Institute of Physics. She will make a key contribution to research and teaching in the field of magnetic resonance tomography.
Lijing Xin’s research involves developing cutting-edge magnetic resonance spectroscopy techniques in order to obtain a better understanding of brain function and the pathophysiology of neurological diseases. She was awarded an SNSF Consolidator Grant by the Swiss National Science Foundation for her research in 2022. Her interdisciplinary approach to developing a new neuroimaging method that targets molecular aspects of brain networks is a good fit with the research undertaken at the Center for Biomedical Imaging (CIBM) and the Institute of Physics. She will make a key contribution to research and teaching in the field of magnetic resonance tomography.