Bruno Emanuel Ferreira De Sousa CorreiaThroughout my PhD and postdoctoral studies I was trained in world-renowned laboratories and institutions in the United States of America (University of Washington and The Scripps Research Institute). Very early in my scientific career I found out my fascination about protein structure and function. My PhD studies evolved in the direction of immunogen design and vaccine engineering which sparked my interest in the many needs and opportunities in vaccinology and translational research. My efforts resulted in an enlightening piece of work where for the first time, computationally designed immunogens elicited potent neutralizing antibodies. During my postdoctoral studies I joined a chemical biology laboratory at the Scripps Research Institute. In this stage I developed novel chemoproteomics methods for the identification of protein-small molecule interaction sites in complex proteomes. In March 2015, I joined the École Polytechnique Fédérale de Lausanne (EPFL) – Switzerland as a tenure track assistant professor. The focus of my research group is to develop computational tools for protein design with particular emphasis in applying these strategies to immunoengineering (e.g. vaccine and cancer immunotherapy). The activities in my laboratory focus on computational design methods development and experimental characterization of the designed proteins. Our laboratory has been awarded with 2 prestigious research grants from the European Research Council. Lastly, I have been awarded the prize for best teacher of Life sciences in 2019.
Drazen DujicDrazen Dujic is an Associate Professor and Head of the Power Electronics Laboratory at EPFL. He received the Dipl.Ing. and MSc degrees from the University of Novi Sad, Serbia in 2002 and 2005, respectively, and the PhD degree from Liverpool John Moores University, UK in 2008. From 2003 to 2006, he was a Research Assistant with the Faculty of Technical Sciences at University of Novi Sad. From 2006 to 2009, he was a Research Associate with Liverpool John Moores University. After that he moved to industry and joined ABB Switzerland Ltd, where from 2009 to 2013, he was Scientist and then Principal Scientist with ABB Corporate Research Center in Baden-Dättwil, and from 2013 to 2014 he was R&D Platform Manager with ABB Medium Voltage Drives in Turgi. He joined EPFL in 2014 as Tenure Track Assistant Professor and was promoted to Associate Professor in 2021. His research interests include the areas of design and control of advanced high power electronic systems and high-performance drives, predominantly for the medium voltage applications related to electrical energy generation, conversion and storage. He has authored or coauthored more than 150 scientific publications and has filed 16 patents. In 2018 he received EPE Outstanding Service Award from European Power Electronics and Drives Association and in 2014 the Isao Takahashi Power Electronics Award for Outstanding Achievement in Power Electronics. He is Senior Member of IEEE, and serves as Associate Editor for IEEE Transactions on Power Electronics, IEEE Transactions on Industrial Electronics and IET Electric Power Applications. He is Chairman of the Swiss IEEE Power Electronics Society (PELS) Chapter and IEEE PELS R8 Chair.
Johanni Michael BreaEnseignement et PhD Doctorant·es actuel·les Aude Maier, Lucas Louis Gruaz, Flavio Martinelli Cours Biological data science II : machine learning BIO-322 Les étudiants comprennent les concepts et méthodes de base d'apprentissage automatique. Ils savent les décrire en termes mathématiques et ils savent les appliquer aux données en utilisant un langage de haut niveau (julia/python/R). Intelligence artificielle et société HUM-286 Ce cours intègre les SHS avec les sciences de l'
Fabrizio SossanExpertise
Mathematical Modelling, Forecasting and Optimization for Power System Applications
Enseignement et PhD Doctorant·es actuel·les Keyu Jia A co-dirigé les thèses EPFL de Yihui Zuo, Mohsen Kalantar Neyestanaki, Rahul Kumar Gupta Cours Energy storage systems EE-466 Ce cours présente les principales technologies de stockage d'énergie, leurs attributs, leurs modèles mathématiques et leurs applications (stationnaires et mobiles), de la conception à l'exploitation et au contrôle, avec un
Adam James ScholefieldAdam Scholefield received the MEng in Electric and Electronic Engineering from Imperial College London in 2007.After a brief interuption of studies to compete in the Olympic Games, he received the PhD from the Communications and Signal Processing Group of Imperial College in 2013. His thesis was titled “Quadtree Structured Approximation Algorithms” and focused on image approximation algorithms with applications in image restoration.Since June 2014, he has served as a postdoctoral researcher in the Audiovisual Communications Laboratory (LCAV) at EPFL.
Michele CeriottiMichele Ceriotti received his Ph.D. in Physics from ETH Zürich in 2010. He spent three years in Oxford as a Junior Research Fellow at Merton College. Since 2013 he leads the laboratory for Computational Science and Modeling in the Institute of Materials at EPFL. His research revolves around the atomic-scale modelling of materials, based on the sampling of quantum and thermal fluctuations and on the use of machine learning to predict and rationalize structure-property relations. He has been awarded the IBM Research Forschungspreis in 2010, the Volker Heine Young Investigator Award in 2013, an ERC Starting Grant in 2016, and the IUPAP C10 Young Scientist Prize in 2018.
Michalina Wanda PacholskaI’m quite bad at following a simple path. I studied inter-faculty math and science studies (mostly mathematics, some physics with just a pinch of chemistry and biology) at University of Warsaw. In 2016 I finished Masters with specialisation in topology and set theory. My master thesis was in (mathematical) signal processing, and I’ve been under guidance of Computational Biology Group. Then I have done an internship at Google Mountain View where I worked on C data processing pipeline. Came back to Europe to do PhD in computer science at EPFL, where I tried working on physically based rendering only to go back to settle in LCAV. Signal processing led me to Fourier optics and playing with lasers in the Galata Laboratory, but as cool it sounds, I wandered off towards localisation and SLAM. Oh, and I had a break last year, I went for an internship to DeepMind to fold some proteins.In the free time I draw cows for Helvetic Coding Contest :)
Kyle Michael DouglassExpertise
Optics Light microscopySuper-resolution fluorescence microscopyStatic and dynamic light scatteringFourier and statistical optics Software engineeringImage processing and analysisBackend web software development (AWS, Terraform, Django, etc.)Python and Rust programming languagesBiophysicsChromatin architecture
Academic Profile
I am a research engineer in optical sensing for soft matter characterization and cell biology with over fifteen years of optics laboratory experience. My strategy is to merge
Mathieu HursinAprès une thèse de doctorat sur la modélisation haute fidélité d'ejection de barres de contrôle dans un réacteur à eau préssurisée à l'Université de Californie à Berkeley et un court postdoc à l'université du Michigan, j'ai passé les premières 8 années de ma carrière au Paul Scherrer Institut. Mes activités de recherche étaient principalement dédiées à developper des méthodes de propagation d'incertitudes dans les schémas de calculs déterministes utilisés pour la modélisation des centrales nucléaires suisse
Hamidreza KaramiExpertise
Electromagnetic CompatibilityComputational ElectromagneticElectromagnetic Simulation SoftwareElectromagnetic MeasurementsApplied Machine-Learning in EMTime-ReversalSource LocalizationProgramming
Expertise
Electromagnetic CompatibilityComputational ElectromagneticElectromagnetic Simulation SoftwareElectromagnetic MeasurementsApplied Machine-Learning in EMTime-ReversalSource LocalizationProgramming
Gabriel AeppliEnseignement et PhD A dirigé les thèses EPFL de Dmitrii Usanov
