Anouk NeuenschwanderTeaching & PhD Courses Business law HUM-234 This course provides legal tools for the analysis of concrete economic situations and the identification of relevant rules from a business perspective. Law and technology I HUM-410 This course presents the legal framework applicable to certain issues in technical fields, such as construction law, computer law, biotechnology, data protection, digitalisation, robotization. Law and technology II HUM-414 This course pres
Laura GrigoriExpertise
Numerical linear algebra, deterministic and randomized algorithmsHigh performance computing for scientific applicationsHigh dimensional problems and tensor computationsApplications in astrophysics, molecular simulations, etcCombinatorial scientific computingMathematical Software
Teaching & PhD PhD Students Israa Fakih, Zhipeng Xue, Andrea Di Antonio, Mariana Graciela Martinez Aguilar, Guifré Sánchez i Serra Courses Numerical analysis and computational mathematics MATH-456 The cou
Florian Karl RichterCurriculum vitae You can download my CV here
ResearchResearch Fields Ergodic Theory, Combinatorics, Number TheoryList of Publications Open-access preprints and e-prints of all my publications are freely available on arXiv ↗ .An inverse theorem for sumsets of sets of positive density in the integersEthan Ackelsberg, Florian K. Richter submitted, 117 pageslink ↗Weighted averages of arithmetic functions and applications to equidistributionVitaly Bergelson, Michael Reilly, Florian K. Richter submitted, 29 page
Linda MarchandTeaching & PhD Courses Applied statistics MATH-516 The course will provide an overview of everyday challenges in applied statistics through case studies. Students will learn how to use core statistical methods and their extensions, and will use computational and problem-solving tools to provide reproducible solutions for the problems presented. Bioinformatic Analysis of RNA-sequencing (Fall) BIO-693(a) Bioinformatic Analysis of RNA-sequencing (Spring) BIO-693(b)
Michael HerbstExpertise
For more information about our research, see https://matmat.org/research/.
Teaching & PhD PhD Students Niklas Frederik Schmitz, Anna Paulish, Bruno Ploumhans, Benedikt Menges Courses Error control in scientific modelling MATH-500 Errors are ubiquitous in computational science as neither models nor numerical techniques are perfect. With respect to eigenvalue problems motivated from materials science and atomistic modelling we discuss, implement and apply numerical techniques for e Giordano FaviExpertise
Research: Non associative Algebra, Category Theory, Triangulated Category Theory, Balmer-Witt Theory, Quadratic Forms in Characteristic 2, Galois Theory, Essential dimension, Tensor Triangular GeometryTeaching: Algebra (Associative, Linear, Commutative or not), Differential Calculus , Algebraic Geometry/Topology, etc.
Current work
Teaching: My current work at EPFL is half time dedicated to teaching mathematics for 1st year students. It is very important to give satisfactory introductory courses
Kelvin Ka Ching LauExpertise
Protein expressionProtein purificationProtein characterizationProtein-protein interactionsX-ray crystallographyStructural biologyProtein biophysics
Mission
I am trained in biochemistry and structural biology and have keen interest in protein-protein interactions. Here to help solve your problems!
Education PhD | Biochemistry and Molecular Biology 2008 – 2014 University of British Columbia Directed by Filip van Petegem Bachelor of Science | Honours Bi
Maude GirardinTeaching & PhD Courses Analysis A (for MAN) PREPA-031(a) This course offers the basic tools in calculus and in solving of equations and inequations on real and complex numbers.The course explores the study of elementary fonctions and is a basis for the calculus course. Analysis II (for CMS) PREPA-005(a) This class focus on the studies of special functions : trigonometric, logarithmic and exponential functions. Linear Algebra (for CMS) PREPA-002 the goal is to
Marco PicassoExpertise
Computational Science and Engineering
Mission
I am teaching analysis and numerical analysis for engineers and mathematicians at bachelor and master levels.My research pertains to the numerical simulation of complex physical systems with partial differential equations.Here is some bibliometry: Google Scholar, Research Gate, Orcid, here is my most recent CV. Ongoing research projects: - Numerical simulation of aluminium electrolysis, collaboration with RioTinto LRF lab, Ycoorsystems SA and Jacques
Julien Alexandre AndresTeaching & PhD Courses Advanced general chemistry CH-160(f) This course aims at the acquisition of essential notions on the structure of matter, chemical equilibria and reactivity. Theoretical teaching and exercise provide the methodology to analyze and solve by reasoning and calculation novel problems of general chemistry. Advanced general chemistry (for SFU) UNIL-160 The aim of this course is to acquire the essential concepts relating to the structure of matter and chemical
Samuel TerrettazTeaching & PhD Courses Advanced general chemistry CH-160(f) This course aims at the acquisition of essential notions on the structure of matter, chemical equilibria and reactivity. Theoretical teaching and exercise provide the methodology to analyze and solve by reasoning and calculation novel problems of general chemistry. Advanced general chemistry CH-160(g) This course aims at the acquisition of essential notions on the structure of matter, chemical equilibria and reactivi
Guillaume Alexandre C OlikierExpertise
Continuous optimization, numerical analysis
Guillaume Olikier is a postdoctoral researcher (Bernoulli Instructor) within the Institute of Mathematics at EPFL. He received an engineering degree in applied mathematics (2017) and a PhD in engineering sciences and technology (2023) from UCLouvain, Louvain-la-Neuve, Belgium. From 2023 to 2025, he was a postdoctoral researcher (Starting Research Position) at the Inria Centre at Université Côte d’Azur, Sophia Antipolis, France. His main research area is
Annalisa BuffaTeaching & PhD PhD Students Gonzalo Bonilla Moreno, Philipp Christoph Weder, Yannis Dirk Voet, Fabio Marcinno, Ferhat Sindy, Francesco Sala, Markus Renoldner, Mohamed Ben Abdelouahab, Davor Dobrota Past EPFL PhD Students Luca Coradello, Ondine Chanon, Riccardo Puppi Courses Numerical approximation of PDEs MATH-451 The course is about the derivation, theoretical analysis and implementation of the finite element method for the numerical approximation of partial differential equations in on
Giovanni De MicheliExpertise
Design technologies for integrated systems on silicon, such as synthesis, hw/sw codesign and low-power design, as well as systems on heterogeneous platforms including electrical and biological components.
Scientific Director of EcoCloud Center at EPFL
Directing activities towards creating sustainable computation including AI.Designing energy-savvy data centers and edge devices.
More information
Please read http://si2.epfl.ch/~demichel/
Giovanni De Micheli is a research scientist in electronics and Marco MattavelliTeaching & PhD Past EPFL PhD Students Christophe Clerc, Ruohua Zhou, Beilu Shao, Christophe Lucarz, Richard Thavot, Ab Al Hadi Bin Ab Rahman, Endri Bezati, Simone Casale Brunet, Malgorzata Michalska, Ana Angelica Hernandez Lopez, Aurélien Bloch, Mustafa Besirli, Ünsal Öztürk Past EPFL PhD Students as codirector Sylvain Aguirre Courses Systems and architectures for signal processing EE-555 Study of the essential components and implementation technologies of digital signal processing and commu
Sylvain CalinonExpertise
robot learning, human-robot collaboration, optimal control, model-based optimization
I am a Senior Research Scientist at the Idiap Research Institute and a Lecturer at EPFL, with research interests covering robot learning, optimal control, geometrical approaches, and human-robot collaboration. My work focuses on human-centered robotics applications in which the robots can acquire new skills from only few demonstrations and interactions. It requires the development of models that can exploit the st
Babak FalsafiBabak is a Professor in the School of Computer and Communication Sciences and the founding director of the EcoCloud, an industrial/academic consortium at EPFL investigating scalable data-centric technologies. He has made numerous contributions to computer system design and evaluation including a scalable multiprocessor architecture which was prototyped by Sun Microsystems (now Oracle), snoop filters and memory streaming technologies that are incorporated into IBM BlueGene/P and Q and ARM cores, and computer system performance evaluation methodologies that have been in use by AMD, HP and Google PerKit . He has shown that hardware memory consistency models are neither necessary (in the 90's) nor sufficient (a decade later) to achieve high performance in multiprocessor systems. These results eventually led to fence speculation in modern microprocessors. His latest work on workload-optimized server processors laid the foundation for the first generation of Cavium ARM server CPUs, ThunderX. He is a recipient of an NSF CAREER award, IBM Faculty Partnership Awards, and an Alfred P. Sloan Research Fellowship. He is a fellow of IEEE and ACM.
Martin VetterliMartin Vetterli was appointed president of EPFL by the Federal Council following a selection process conducted by the ETH Board, which unanimously nominated him.
Professor Vetterli was born on 4 October 1957 in Solothurn and received his elementary and secondary education in Neuchâtel Canton. He earned a Bachelor’s degree in electrical engineering from ETH Zurich (ETHZ) in 1981, a Master’s of Science degree from Stanford University in 1982, and a PhD from EPFL in 1986. Professor Vetterli taught at Columbia University as an assistant and then associate professor. He was subsequently named full professor in the Department of Electrical Engineering and Computer Sciences at the University of California at Berkeley before returning to EPFL as a full professor at the age of 38. He has also taught at ETHZ and Stanford University.
Professor Vetterli has earned numerous national and international awards for his research in electrical engineering, computer science and applied mathematics, including the National Latsis Prize in 1996. He is a fellow of both the Association for Computing Machinery and the Institute of Electrical and Electronics Engineers and a member the US National Academy of Engineering. He has published over 170 articles and three reference works.
Professor Vetterli’s work on the theory of wavelets, which are used in signal processing, is considered to be of major importance by his peers, and his areas of expertise, including image and video compression and self-organized communication systems, are central to the development of new information technologies. As the founding director of the National Centre of Competence in Research on Mobile Information and Communication Systems, Professor Vetterli is a staunch advocate of transdisciplinary research.
Professor Vetterli knows EPFL inside and out. An EPFL graduate himself, he began been teaching at the school in 1995, was vice president for International Affairs and then Institutional Affairs from 2004 to 2011, and served as dean of the School of Computer and Communication Sciences in 2011 and 2012. In addition to his role as president of the National Research Council of the Swiss National Science Foundation, a position he held from 2013 to 2016, he heads the EPFL’s Audiovisual Communications Laboratory (LCAV) since 1995.
Professor Vetterli has supported more than 60 students in Switzerland and the United States in their doctoral work and makes a point of following their highly successful careers, whether it is in the academic or business world.
He is the author of some 50 patents, some of which were the basis for start-ups coming out of his lab, such as Dartfish and Illusonic, while others were sold (e.g. Qualcomm) as successful examples of technology transfer. He actively encourages young researchers to market the results of their work.
