Loïc Jean Pierre HerviouEnseignement et PhD Cours Solid state physics III PHYS-419 Le but de ce cours est de proposer une introduction à la théorie de quelques phénomènes remarquables en matière condensée tels que l'effet Hall quantique ou la supraconductivité.
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
Mattia Guerino VarroneExpertise
I began my doctoral studies in 2023, focusing on fundamental theoretical physics. My research interests include quantum gravity, cosmology, and quantum field theory. Currently, I am investigating the interactions of quantum fields and gravitational fluctuations during the inflationary epoch of the early universe. Additionally, I am exploring the role of wormholes in quantum gravity and their impact on entropy, especially in de Sitter spacetime.
Publications
https://inspirehep.net/authors/2746964
E Olga FinkEnseignement et PhD Doctorant·es actuel·les Han Sun, Leandro Von Krannichfeldt, Keivan Faghih Niresi, Zepeng Zhang, Vinay Sharma, Chenghao Xu, Raffael Pascal Theiler, Kevin Antonio Steiner, Sergei Garmaev, Amaury Wei A dirigé les thèses EPFL de Ismail Nejjar, Mengjie Zhao Cours Data Science for infrastructure condition monitoring CIVIL-332 Le cours couvrira les étapes pertinentes de la surveillance de l'état des infrastructures basée sur les données: l'acquisition des données, en passant p
Alina KleimenovaEnseignement et PhD Cours Projet de Physique II PHYS-422 L'étudiant.e applique les compétences acquises au cours de ses études dans une recherche effectuée dans l'un des laboratoires de la section de physique sous l'encadrement d'un.e enseignant.e de la section. Elle/il est présent dans le laboratoire un jour par semaine.
Mike SeidelEnseignement et PhD Doctorant·es actuel·les Simon Fanica Buijsman, Jesús Avila Pulido, Ingrid Midtbust Hjelle, Maria Paula Rey Barrera, Raziyeh Dadashi Motlagh, Zdenek Vostrel, Evan James Ericson, Yi Wu, Lode Vanhecke, Roberta Provvedi, Adam Mark Furman, Aikaterini Nikou, Felix Höfenstock, Ludovica Bertolozzi, Simone Giroldi A dirigé les thèses EPFL de Marco Hartmann, Péter Kicsiny, Rongrong Cai, André Donadón Servelle, Longdi Zhu, Sofia Carolina Johannesson, Vera Korchevnyuk, Nicolas Vallis, Elias Walter
Vladimir ManucharyanEnseignement et PhD Doctorant·es actuel·les Chulwoo Ahn, Marco Nicolas Mueller, Taketo Imaizumi, Andrea Lizzit, Andrea Duina, Nikola Dimitrov Dimitrov Cours Microwave engineering in physics QUANT-410 Ce cours vise à enseigner les notions de base et les astuces de l'ingénierie des micro-ondes aux étudiants n'ayant qu'une connaissance élémentaire de l'électromagnétisme. L'accent est mis sur des sujets qui apparaissent souvent dans les expériences de physique moderne, y compris la science qua
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.
Michele PuppinEnseignement et PhD A co-dirigé les thèses EPFL de Fei Guo Cours Attosecond radiation sources PHYS-761 Le cours traite les principes des lasers et des sources d'électrons pulsées.
