Aleksei GaierEducation Bachelor's degree in physics | 2016 – 2020 Lomonosov Moscow State University, Physics department Master's degree in physics | 2020 – 2022 Lomonosov Moscow State University, Physics department
Pasquale ScarlinoI obtained my master's degree in Physics at the University of Salento, Lecce (Italy) in February 2011. During 2006-2011, I have also been a student of Scuola Superiore ISUFI (SSI). SSI is one of six schools of excellence established in Italy to develop the intellectual capital in technological and social sciences. I conducted an external Master thesis project during an 8 months internship in the Quantum Transport Group at TU Delft, under the supervision of Prof. L.M.K. Vandersypen. There, I implemented the Quantum Point Contact Radio-Frequency Reflectometry technique, which allows increasing the single-shot electron spin readout bandwidth and is currently routinely used in the group.I obtained my Ph.D. degree in February 2016, in the Spin Qubits group of Prof. L.M.K. Vandersypen at the Kavli Institute of Nanoscience-Qutech (TU Delft). During my Ph.D. I have been leading the Si/SiGe spin qubits project, collaborating with the M. Eriksson Group at Wisconsin University. In parallel, I have been working on other different projects, in particular with GaAs depletion quantum dots, high impedance superconducting resonators, and surface acoustic wave resonators. I have been working as a Postdoc fellow in the group of Prof. A. Wallraff (Quantum Device Lab) at ETH Zurich. My main project, in collaboration with the group of Prof. K. Ensslin and Prof. T. Ihn, consisted in integrating semiconductor and superconductor technologies. Realizing a well-controlled interface between the semiconductor and superconductor-based quantum information technologies may allow harnessing the best of both device architectures, for example by providing an interface between strongly coupled charge state and high coherence spin states. Furthermore, it enables the possibility to explore light/matter hybridization in a class of solid-state systems and regimes that are new in the context of quantum optics.From June 2019 till September 2020, I have been a Senior Researcher at Microsoft Station Q Copenhagen and at the Center for Quantum Devices in Copenhagen, focusing on developing semiconductor-superconducting hybrid hardware for topologically protected quantum computation.Since October 2020, I am a tenure track Assistant Professor of Physics in the School of Basic Sciences at the EPFL where I founded the Hybrid Quantum Circuit (HQC) laboratory.
Jaime Gómez RamírezEducation Bachelor's degree in Mathematics | Thesis: Hausdorff measures and the Fourier transform 2017 – 2021 UAM Directed by Ana Vargas Rey Master's degree in Mathematics | Thesis: Stability of Faber-Krahn inequalities in time-frequency analysis 2021 – 2023 ETH Zürich Directed by João P.G. Ramos & Alessio Figalli
Awards ETH Medal for outstanding master's thesis ETH Zürich 2024
Adway GirishEducation Bachelor of Technology | in Electrical Engg. (with Honors) and Minor in Mathematics 2018 – 2022 Indian Institute of Technology Bombay (IITB)
Chenghao XuEducation Bachelor of Engineering | Mechnical Engineering 2016 – 2020 Southern University of Science and Technology, China Master of Science | Robotics 2020 – 2023 Delft University of Technology, Netherlands
Ehsan PajouheshgarExpertise
Computer Vision, Computer Graphics, Complex Systems, Machine Learning
Education Bachelor of Science | Major: Computer EngineeringMinor: Mathematics 2015 – 2020 Sharif University of Technology Computer Science | 2020 – 2025 EPFL Directed by Sabine Süsstrunk
Awards Teaching Assistance Excellence Award EPFL 2023 Best Student Paper Award From ALife 2024 Conference ALife 2024 Conference 2024 Best Paper Award From SIGGRAPH 2022 Conference ACM
Chloé Marlène MontavonFormation Bachelor of Arts, Sociologie et Économie politique - Business Communication (2017-2020) | 2017 – 2020 Université de Fribourg (FR -CH), Département des Sciences Sociales, Faculté des Lettres et des Sciences Humaines Développement territorial, orientation Urbanisme opérationnel | 2020 – 2022 HES-SO Master - Université de Genève, CH Faculté d'Ingénierie et d'Architecture (HES-SO Master) et des Sciences de la Société (UNIGE)
RechercheDomaines de recherche actue
Lin DuLin Du obtained her BSc in Electronic Information Engineering and her MSc in Information and Communication Engineering respectively from Beijing Institute of Technology, China.From December 2022, she joined Integrated Circuits Laboratory (ICLAB) at EPFL. She is studying for her PhD in Electrical Engineering focusing on machine learning algorithms for drug concentration estimation from data acquired by the sensors. The PhD project is co-supervised by Prof. Sandro Carrara (EPFL) and Prof. Yann Thoma (HEIG-VD)
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
Cyril Felix MonetteFormation Biorobotique | 2021 – 2022 University of Bristol Microtechnique | 2018 – 2021 EPFL Ingénierie civile | 2017 – 2018 Université Catholique de Louvain
Prix et distinctions Teaching Assistant Award EPFL School of Engineering 2025 Biorobotics Best Student prize Awarded by the University of Bristol Engineering Mathematic Department to the student who achieved the highest overall mark in their cohort. 2023 Bristol PLUS Award Awarded by the Un
Victor Carle Adrien BoureauExpertise
Aberration-corrected TEM and STEMQuantative microscopyElectron diffractionStrain mapping (GPA, precession 4D-STEM)Electric and magnetic field mapping (electron holography, DPC, 4D-STEM)
Enseignement et PhD A co-dirigé les thèses EPFL de Pierpaolo Ranieri Cours Scanning and Analytical Transmission Electron Microscopy MSE-735 Transmission electron microscopy and diffraction (a) MSE-637(a) This course is for potential new users of transmission electron microscopes for
Yazan LampertEducation Master of Science | Micro-, Nano-, und Optoelectronics 2018 – 2020 Karlsruhe Institute of Technology (KIT). Karlsruhe, Germany Bachelor of Science | Electrical Engineering and Information Technology 2014 – 2018 Karlsruhe Institute of Technology (KIT). Karlsruhe, Germany Professionals experiences Optical Engineer for Timing Systems 2021–2022 Cycle GmbH. Hamburg, Germany
Zheru QiuBefore joining LPQM, I graduated from University of Science and Technology of China with a bachelor's degree. In USTC, I actively worked in Prof. Zheng-tian Lu's research group and I mainly participated in the atomic magnetometer project led by Prof. Dong Sheng.
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
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
Felix WechslerExpertise
Computational Optics especially for 3D printing.Developer of packages in the Julia Lang ecosystem.
Education Photonics | Master of Science 2019 – 2021 Friedrich Schiller University of Jena, Germany Computer Science | Bachelor of Science 2015 – 2019 Technical University of Munich, Germany Physics | Bachelor of Science 2014 – 2019 Technical University of Munich, Germany
Giuseppe CarleoTwitter
https://twitter.com/gppcarleo
Enseignement et PhD Doctorant·es actuel·les Gian Gentinetta, Linda Mauron, Samuele Piccinelli, Alessandro Sinibaldi, Shao Hen Chiew, David Linteau, Clemens Giuliani, Ali Goodarzi, Gianluca Grosso, Ruize Ma, Ekaterina Pankovets A dirigé les thèses EPFL de Dian Wu, Julien Sebastian Gacon, Gabriel Maria Pescia, Barison Stefano, Imelda Romero Cours Advanced computational physics PHYS-339 Le cours couvre l'algèbre linéaire dense/creuse, les méthodes variati Zoë HolmesEnseignement et PhD Doctorant·es actuel·les Ricard Puig, Sacha Lerch, Reyhaneh Aghaei Saem, Shao Hen Chiew, Weijie Xiong, Marc Sanz Drudis, Mehrad Sahebi, Manuel Rudolph Cours Quantum information theory PHYS-550 Après avoir revu les bases de la théorie quantique du point de vue de la théorie de l'information, nous couvrirons des sujets plus avancés en théorie de l'information quantique tels que les mesures de l'information quantique et la compréhension des états, canaux et mesures quantiqu
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.
