Aline ZanardiniTeaching & PhD Courses Advanced linear algebra I MATH-110(b) The purpose of this course is to introduce the basic notions of linear algebra and to prove the main results of the subject. Algebra V - Galois theory MATH-317 Galois theory lies at the interface of Field Theory and Group Theory. It aims to describe the algebraic symmetries of fields. We will focus on Galois theory for finite field extensions and some applications. Algebraic geometry I - Curves MATH-328
Leonid MoninTeaching & PhD Courses Algebra III - rings and fields MATH-215 This is an introductory course in ring and field theory. Analysis I (English) MATH-101(en) We study the fundamental concepts of analysis, calculus and the integral of real-valued functions of a real variable. Topology III - Homology MATH-323 Homology is one of the most important tools to study topological spaces and it plays an important role in many fields of mathematics. The aim of this course is
Olivier MartinOlivier J.F. Martin received the M.Sc. and Ph.D. degrees in physics in 1989 and 1994, respectively, from the Swiss Federal Institute of Technology, Lausanne (EPFL), Switzerland. In 1989, he joined IBM Zurich Research Laboratory, where he investigated thermal and optical properties of semiconductor laser diodes. Between 1994 and 1997 he was a research staff member at the Swiss Federal Institute of Technology, Zurich (ETHZ). In 1997 he received a Lecturer fellowship from the Swiss National Science Foundation (SNSF). During the period 1996-1999, he spent a year and a half in the U.S.A., as invited scientist at the University of California in San Diego (UCSD). In 2001 he received a Professorship grant from the SNSF and became Professor of Nano-Optics at the ETHZ. In 2003, he was appointed Professor of Nanophotonics and Optical Signal Processing at the Swiss Federal Institute of Technology, Lausanne (EPFL), where he is currently head of the Nanophotonics and Metrology Laboratory and Director of the Microengineering Section.
Giulia MescoliniEducation BSc in Mathematical Engineering | 2017 – 2020 Politecnico di Milano MSc in Computational Science and Engineering | 2020 – 2023 Politecnico di Milano MSc in Computational Science and Engineering | 2021 – 2023 EPFL
Awards Dean’s Award for outstanding contributions to teaching School of Basic Sciences (SB) of EPFL 2025
Georgios MoschidisTeaching & PhD PhD Students Abraham Gabriel Dorsaz Courses Analysis IV (for EL, GM, MX) MATH-207(c) This course serves as an introduction to the theory of complex analysis, Fourier series and Fourier transforms, the Laplace transform, with applications to the theory of ordinary and partial differential equations. These tools play an integral role in most branches of science and engineering. Differential geometry I - curves and surfaces MATH-213 This course serves as an intr
Katrin BeyerSince 2017 Associate Professor, School of Architecture, Civil and Environmental Engineering (ENAC), EPFL. Head of the Earthquake Engineering and Structural Dynamics (EESD) Laboratory
2010-2017 Assistant Professor, EPFL.
2008-2010 Post-doctoral researcher, ETH Zürich.
2003-2007 Ph.D., Roseschool / Università di Pavia, Italy.
2001-2003 Ove Arup & Partners, Advanced Technology and Research Group, London.
2001 Diploma, Civil engineering, ETH Zürich.
Riccardo RattazziRiccardo Rattazzi was born in Novara (Italy) in 1964. He studied physics at the University of Pisa, where he received the Laurea cum laude in 1987, and at the Scuola Normale Superiore where he received the Diploma in Scienze and carried out graduate research in theoretical physics. After having been a post-doctoral research associate at the Lawrence Berkeley Laboratory, at Rutgers University and at CERN, in 1998 Riccardo obtained a permanent research position at the Istituto Nazionale di Fisica Nucleare in Pisa. From 2001 to 2006 he was a staff member at the Theory Division of CERN. In 2006 he was appointed professor of physics at EPFL.
Michaël UnserExpertise
Image Processing, Medical Imaging, Biological Imaging, Wavelets, Splines, Multiresolution
Michael Unser is Full Professor with EPFL’s school of Engineering and the academic director of EPFL's Center for Imaging, Lausanne, Switzerland. His primary areas of investigation are signal processing, biomedical imaging and applied functional analysis. He is internationally recognized for his research contributions to sampling theory, wavelets, the use of splines for image processing, stochastic processes,
Clément Hongler2006: B.Sc. Math, EPFL2008: M.Sc. Math, EPFL2010: Ph.D. Math, Université de Genève2010-2014: Ritt Assistant Professor, Columbia University2014-2018 Tenure-Track Assistant Professor, EPFL2019-present: Associate Professor, EPFL
Stephan BrunnerTeaching & PhD PhD Students Hugo Jean Elie Chkroun, Nicole Vadot, Oraz Anuaruly, Haomin Sun, Isabel Muzio, Fabien Nicolas Jeanquartier Past EPFL PhD Students Ajay Chandrarajan Jayalekshmi, Arnas Volcokas Past EPFL PhD Students as codirector Xavier Lapillonne, Thibaut Vernay, Julien Stanislas Pierre Dominski, Gabriele Merlo, Emmanuel Lanti, Noé Ohana, Moahan Murugappan Courses Plasma instabilities PHYS-736 To complete the theoretical knowledge acquired before the graduate studies.
Xavier Fernandez-Real GironaTeaching & PhD PhD Students Roberto Colombo Courses Optimal transport MATH-476 The first part is devoted to Monge and Kantorovitch problems, discussing the existence and the properties of the optimal plan. The second part introduces the Wasserstein distance on measures and develops applications of optimal transport to PDEs, functional/geometric inequalities, traffic models.
Martin HairerTeaching & PhD PhD Students Colin Piernot, Wenhao Zhao, Declan Rellan Stacy Courses Advanced stochastic analysis MATH-525 This course will give you in-depth knowledge in some topics of modern stochastic analysis. We will start with a general introduction to Gaussian measure theory followed by an introduction to Malliavin calculus and a selection of advanced topics.
Awards Fermat Prize Institut de Mathématiques de Toulouse 2013 Fields Medal IMU 2014 Honorary doctorate in science Hong Kong
Paul Joseph DysonPaul Dyson joined the Institute of Chemical Sciences and Engineering at the EPFL in 2002 where he heads the Laboratory of Organometallic and Medicinal Chemistry and between 2008 and 2016 chaired the Institute. He has won several prizes including the Werner Prize of the Swiss Chemical Society in 2004, the Award for Outstanding Achievements in Bioorganometallic Chemistry in 2010, the Centennial Luigi Sacconi Medal of the Italian Chemical Society in 2011, the Bioinorganic Chemistry Award of the Royal Society of Chemistry in 2015, the European Sustainable Chemistry Award of the European Chemical Society in 2018 and the Green Chemistry Award from the Royal Society of Chemistry in 2020. He is also a Clarivate Highly Cited Researcher and has an H-index >110 (web of science and google scholar). He was elected a Fellow of the Royal Society of Chemistry in 2010, a Fellow of the European Academy of Science in 2019 and a life-long fellow of the American Association for the Advancement of Science in 2020. Over the years he has held visiting professorships at the University of Bourgogne, University of Pierre et Marie Curie, University of Vienna, University of Rome Tor Vergara, Chimie Paristech and Shangai Jiao Tong University.Since 2016 he has been Member of the Council of the Division of Mathematics, Natural and Engineering Sciences at the Swiss National Science Foundation.Between 2016-2021 he has been Member of the Council of the Division of Mathematics, Natural and Engineering Sciences at the Swiss National Science Foundation. In 2021 he was appointed Dean of the Faculty of Basic Sciences.
Lenka ZdeborováLenka Zdeborová is a Professor of Physics and of Computer Science in École Polytechnique Fédérale de Lausanne where she leads the Statistical Physics of Computation Laboratory. She received a PhD in physics from University Paris-Sud and from Charles University in Prague in 2008. She spent two years in the Los Alamos National Laboratory as the Director's Postdoctoral Fellow. Between 2010 and 2020 she was a researcher at CNRS working in the Institute of Theoretical Physics in CEA Saclay, France. In 2014, she was awarded the CNRS bronze medal, in 2016 Philippe Meyer prize in theoretical physics and an ERC Starting Grant, in 2018 the Irène Joliot-Curie prize, in 2021 the Gibbs lectureship of AMS. She is an editorial board member for Journal of Physics A, Physical Review E, Physical Review X, SIMODS, Machine Learning: Science and Technology, and Information and Inference. Lenka's expertise is in applications of concepts from statistical physics, such as advanced mean field methods, replica method and related message-passing algorithms, to problems in machine learning, signal processing, inference and optimization. She enjoys erasing the boundaries between theoretical physics, mathematics and computer science.
Vittorio ErbaTeaching & PhD Courses Statistical physics of computation PHYS-512 The students understand tools from the statistical physics of disordered systems, and apply them to study computational and statistical problems in graph theory, discrete optimisation, inference and machine learning.
Mikhail ChapochnikovMikhail Shaposhnikov was born in Sochi, Russia, in 1956. He got his degree from Moscow States University in 1979 and his PhD from the Institute for Nuclear Research of the Russian Academy of Sciences in 1982 for his work on the problem of baryon asymmetry of the universe in grand unified theories. He worked from 1982 till 1986 as a junior research scientist and from 1986 till 1991 as a senior research scientist at the Theory Division of the Institute for Nuclear Research of the Russian Academy of Sciences (Moscow). From 1991 till 1998 he worked as a staff member at the Theory Division of European Organisation for Nuclear Research (CERN, Geneva). In 1998 he was appointed as a Professor of Theoretical Physics at the University of Lausanne, in 1999 he became a Director of the Institute of Theoretical Physics of Lausanne University. Since October 2003 he is a Professor at EPFL, leading the Laboratory for Particle Physics and Cosmology.
