Andrea VezzosiAndrea Vezzosi is a postdoctoral researcher in the group of Prof. Ursula Rothlisberger at the Institute of Chemical Sciences and Engineering, EPFL (Switzerland). He earned his Ph.D. in Physics and Nanosciences from the University of Modena and Reggio Emilia in 2024, where he investigated spin–orbit coupling and topological states in core–shell semiconductor nanowires. During his doctoral studies, he developed nwkp, an open-source Python library for computing the band structure of core–shell nanowires using
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
Gregor JotzuGregor Jotzu is heading the Dynamic Quantum Materials Laboratory (DQML) at EPFL. His research concerns the control of quantum materials using intense low-frequency laser pulses and the dynamics of order formation in strongly correlated quantum systems.After reading physics at the University of Oxford, he became the 2009/2010 Michael von Clemm Fellow at Harvard University. He received his doctorate from ETH Zurich, where he studied quantum magnetism and driving-induced order using ultracold atoms in optical
Manuel Sebastian RudolphExpertise
Computational quantum physicsQuantum algorithmsQuantum machine learningGenerative modeling
Manuel is a PhD Candidate at EPFL in the group of Prof. Zoë Holmes, where he focuses on the numerical simulation of quantum computers. Together with his collaborators, he studies which properties make quantum circuits easy or hard to simulate classically, and how efficient classical simulability is connected to the barren plateau phenomenon. Manuel develops high-performance quantum simulation software and is
Gopal Narmada NaiduExpertise
Researcher with 8+ years of experience in computational physics and multiphysics modeling, focused on numerical simulation of light–matter interactions and photon propagation. Proficient in FEM, FDTD, and Monte Carlo methods to model energy conversion and optical behavior, with additional expertise in AI/ML techniques for model optimization and design exploration. Strong background in photonic devices, photo-thermal, thermo-optical effects, and nanostructure engineering. Adept at translating compl
Julie Nathalie S GheysenProfessionals experiences PhD student 2018–2022 Université Catholique de Louvain
Teaching & PhD Courses Materials MSE-171 Introduction course of material science applied to usual building materials, especially concrete and metals. Description of their fabrication, mechanical and thermal properties and use in construction. Mechanical behaviour of materials MSE-234 This course provides an introduction to the mechanical behaviour, the processing, the structure and life-cycle o
Jérémy DumoulinExpertise
energy system modelling, electric mobility, solar energy, photovoltaic performance modelling
Ricard Puig I VallsExpertise
I'm interested on Variational Quantum Algorithms, Quantum Simulation and Quantum Metrology and Sensing. Overall in general I love studying how we can exploit quantum resources to surpass the classical limits.
Expertise
I'm interested on Variational Quantum Algorithms, Quantum Simulation and Quantum Metrology and Sensing. Overall in general I love studying how we can exploit quantum resources to surpass the classical limits.
I obtained my BSc in Physics in 2022 from the Autonomous University of Bar
Sangwoo KimSangwoo Kim is set to join EPFL as a Tenure Track Assistant Professor in September 2023. Prior to his appointment at EPFL, he served as a postdoctoral fellow in the Department of Mechanical Engineering at the University of California, Santa Barbara. He earned his graduate degree in Theoretical and Applied Mechanics from the University of Illinois at Urbana-Champaign, where his research delved into the relationships between statistics, geometry, and mechanical states in cellular matters. Currently, his research focus on fundamental understanding of biological and living systems, as well as the study of soft and active matter employing principles from mechanics and physics. His research interests encompass embryonic development, tissue morphogenesis, structure and mechanics of soft materials, inherent structure of amorphous materials, and non-equilibrium dynamics of active matter.
Barbora HudcováTeaching & PhD Courses Cellular automata and models of artificial life MATH-527 In this class, we will study artificial life, i.e. mathematical models that aim to capture key processes underlying life, in particular replication, emergence of complexity, and evolution.
Daryl Yee Wei LiangIncoming Assistant Professor of Electrical and Microengineering (March 2023)
Olga FinkTeaching & PhD PhD Students Han Sun, Leandro Von Krannichfeldt, Keivan Faghih Niresi, Zepeng Zhang, Vinay Sharma, Chenghao Xu, Raffael Pascal Theiler, Kevin Antonio Steiner, Sergei Garmaev, Amaury Wei Past EPFL PhD Students Ismail Nejjar, Mengjie Zhao Courses Data Science for infrastructure condition monitoring CIVIL-332 The course will cover the relevant steps of data-driven infrastructure condition monitoring, starting from data acquisition, going through the steps pre-processing of real
Jack Richard GreenwoodExpertise
Superconducting magnets for fusion energy (LTS and HTS).Superconducting magnet technology prototyping and testing.High-field measurements on superconductors with currents up to 100 kA.Critical currents in superconducting materials: flux pinning, Josephson junctions, and percolation theory. Beyond (p,q) models.Superconductors under strain.
Current Work
I joined the Swiss Plasma Centre's Superconductivity Group (SPC-SG) in 2023. The group is part of EPFL and it is physically located at the Paul Sche
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
David Fernando Reyes VasquezExpertise
Electron energy loss spectroscopy (EELS)Aberration-corrected TEM and STEM
Teaching & PhD Courses Scanning and Analytical Transmission Electron Microscopy MSE-735 This intensive course discusses advanced TEM techniques such as: scanning TEM; analytical TEM using EELS and EDX; aberration corrected imaging; and image simulation. It is intended for researchers who have taken the introductory TEM course MSE-637 or who have a good background in conventional TEM.
