Anne-Florence Raphaëlle BitbolI was trained in physics, and always had a strong interest in biology. I am broadly interested in understanding biological phenomena in a quantitative way, through physical concepts and mathematical and computational tools. I investigate the relative impacts of optimization and historical contingency in biological evolution, both at the scale of protein sequences and at the scale of microbial populations.Here is my research group website.Curriculum vitae Here is my complete CV. Professional experience:Since
Vladislav SlamaExpertise
Atomistic modeling of the biological pigment protein complexes consisting of molecular dynamics simulations (AMBER), computing ground and excited state properties of molecules and molecular aggregates including the effects of the environment (Gaussian, PyScf) and simulating excitation dynamics and optical spectra using quantum master equation approaches (Quantarhei).
Expertise
Atomistic modeling of the biological pigment protein complexes consisting of molecular dynamics simulations (AMBER), compu
Zohreh AkbariExpertise
Energy Materials, Hydrogen, Catalysis, Chemical Engineering, Material Characterization
Education Catalytic Hydrogen Combustion: Insights into Reaction Mechanisms and Material Design | Materials Science and Engineering 2021 – 2025 EPFL
Simone IadanzaEnseignement et PhD Cours Nanophotonics MICRO-516 Les étudiants comprennent et appliquent la physique de l'interaction de la lumière avec les semi-conducteurs. Ils comprennent le mécanisme de fonctionnement des dispositifs photoniques à échelle réduite tels que les photodétecteurs, les LED et les lasers, ainsi que les défis et les opportunités liés
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.
Mirjana Dimitrievska2020 - present Scientist École Polytechnique Fédérale de Lausanne (EPFL), Switzerland 2016 - 2019 Postdoctoral Fellow (dual appointment) National Renewable Energy Laboratory (NREL), Golden, CO, USA
2016 - 2019 Postdoctoral Fellow (dual appointment) NIST Center for Neutron Research (NCNR), National Institute for Standards and Technology (NIST), Gaithersburg, MD, USA 2013 - 2016 Marie Curie PhD Fellowship Catalonia Institute for Energy Research (IREC), Barcelona , Spain 2015 Guest researcher (two months) ABENGOA Solar, Seville, Spain 2015 Guest researcher (two months) University of Bath, Bath, United Kingdom 2014 Guest researcher (two months) Autonomous University of Madrid (UAM), Madrid, Spain
2013 Guest researcher (four months)Helmholtz-Zentrum Berlin (HZB), Berlin, Germany
2010 – 2013 Research Assistant University of Novi Sad, Novi Sad, Serbia
Francesco ArmillottaExpertise
Physique de la matière condensée, Physique des surfaces
Je suis actuellement post-doctorant dans le groupe Laboratoire des Nanostructures de Surfaces (LSN), intéressé par les propriétés catalytiques des (sub) nanostructures confinées en surface.
Enseignement et PhD Cours Physique du solide PHYS-337 Ce cours donne une introduction à la Physique du solide, notamment à la structure cristalline, aux vibrations duréseau, aux propriétés électroniques, de transport thermique et électrique
