Pawel DuchExpertise
My present research focuses on the intersection between probability theory, PDE theory and Euclidean quantum field theory. I am especially interested in problems involving singular stochastic partial differential equations and renormalization. I have also a background in mathematical aspects of perturbative and axiomatic quantum field theory as well as general relativity.
I am a postdoctoral researcher in the group of Martin Hairer. Previously, I was a postdoc at Adam Mickiewicz University in Pozn
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
Younes Pierre ZineExpertise
I mainly work on (deterministic and random) nonlinear PDEs by using techniques and insights from PDE theory, probability theory and Fourier analysis.My website:https://younes-zine.github.io
Expertise
I mainly work on (deterministic and random) nonlinear PDEs by using techniques and insights from PDE theory, probability theory and Fourier analysis.My website:https://younes-zine.github.io
Education Ph.D. | 2020 – 2023 The University of Edinburgh Mats Julius StensrudEnseignement et PhD Doctorant·es actuel·les Ignacio Gonzalez Perez, Gellért Géza Perényi, Lorenzo Gasparollo, Julien David Laurendeau A dirigé les thèses EPFL de Matias Janvin, Amit Sawant Cours Causal thinking MATH-352 Ce cours donnera une présentation unifiée des méthodes modernes d'inférence causale. Nous nous concentrons sur les concepts, et nous présenterons des exemples et des idées provenant de diverses disciplines scientifiques, notamment la médecine, l'informatique, l'ingénierie,
Yanina Yurina ShkelEnseignement et PhD Doctorant·es actuel·les Serhat Emre Coban, Anuj Kumar Yadav, Cemre Çadir Cours Advanced probability and applications COM-417 Dans ce cours, différents aspects de la théorie des probabilités sont abordés. La première partie est dévolue à ses principaux théorèmes (loi des grands nombres, théorème central limite), tandis que la seconde partie porte sur la théorie des martingales et inégalités de concentration. Signal processing COM-202 Théorie et appli.du t
Felipe Osiel Hernández CastroExpertise
My research interests lie mainly in Ergodic Theory, Arithmetic combinatorics, Ramsey Theory, and Multiplicative Number Theory.
Please visit my professional webpage for more information. Curriculum vitae CV
Teaching & PhDTeaching & PhD Teaching Assistant for the course Ergodic theory (Autumn semester 2023)Teaching Assistant for the course Discrete mathematics (Spring semester, 2024)Teaching Assistant for the course Measure and integration (Fall semester, 2024)Teaching Assistant for the course Disc
Gregor JotzuEnseignement et PhD Doctorant·es actuel·les Malo Pierre Yves Herve, Louis Gobber, Chiara Missaglia, Kewei Zhou, Fares Hasan Cours Probability and statistics for materials science MSE-213 Établit les concepts de l'analyse statistique, théorie des probabilités et l'analyse des données. Cela inclut les tests statistiques standard, l'analyse des corrélations et la conception expérimentale. Il introduit des méthodes statistiques informatiques pour analyser de grands ensembles de données. Quan
Georgios MoschidisEnseignement et PhD Doctorant·es actuel·les Abraham Gabriel Dorsaz Cours Analysis IV (for EL, GM, MX) MATH-207(c) Ce cours est une introduction à la théorie de l'analyse complexe, aux séries et transformées de Fourier, à la transformée de Laplace, avec des applications à la théorie des équations différentielles ordinaires et partielles. Differential geometry I - curves and surfaces MATH-213 Ce cours constitue une introduction à la géométrie différentielle classique, qui ét
Leonid MoninEnseignement et PhD Cours Algebra III - rings and fields MATH-215 C'est un cours introductoire dans la théorie d'anneau et de corps. Analyse I (anglais) MATH-101(en) Étudier les concepts fondamentaux d'analyse et le calcul différentiel et intégral des fonctions réelles d'une variable. Topology III - Homology MATH-323 L'homologie est l'un des outils les plus importants pour étudier les espaces topologiques et elle joue un rôle important dans de nombreux domaine
Sofia Charlotta OlhedeSofia Olhede is a professor of Statistics at EPFL in Switzerland. She joined UCL prior to this in 2007, before which she was a senior lecturer of statistics (associate professor) at Imperial College London (2006-2007), a lecturer of statistics (assistant professor) (2002-2006), where she also completed her PhD in 2003 and MSci in 2000. She has held three research fellowships while at UCL: UK Engineering and Physical Sciences Springboard fellowship as well as a five-year Leadership fellowship, and now holds a European Research Council Consolidator fellowship. Sofia has contributed to the study of stochastic processes; time series, random fields and networks. Sofia was part of the multi-institutional team that set up the UK national data science institute, the Alan Turing Institute. She organised and served as chair of the science committee that developed the initial 500 000 pounds scientific programme of the institute; peer-reviewing over 100 workshop proposals and hosting over 30. She also chaired the first recruitment wave of the institute hiring 13 data scientists as a multi-university recruitment drive. Sofia was a member of the Royal Society and British Academy Data Governance Working Group, and the Royal Society working group on machine learning. Most recently she was one of 3 commissioners on a law society commission on the usage of algorithms in the justice system.
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