Simon GuilloudExpertise
My main domains of research are proof assistants and algorithms for logic-related problems.I also have interests in various areas of computer science and mathematics and their applicability in proof systems such as probabilistic proofs, type theory, quantum computing and more.
Expertise
My main domains of research are proof assistants and algorithms for logic-related problems.I also have interests in various areas of computer science and mathematics and their applicability in proof systems such as
Elison de Nazareth MatioliTeaching & PhD PhD Students Hongkeng Zhu, Yuan Zong, Utku Agtas, Ibrahim Osama Elhagali, Mohammad Rezaei, Zheng Hao, Amirhossein Esteghamat, Ivan Krsic, Luca Mazzone, Önder Soydal, Francesco Marcantoni, Hakan Cankat Gür Past EPFL PhD Students Jun Ma, Giovanni Santoruvo, Minghua Zhu, Riyaz Mohammed Abdul, Reza Soleiman Zadeh Ardebili, Armin Jafari, Catherine Erine, Taifang Wang, Nirmana Perera, Remco Franciscus Peter van Erp, Luca Nela, Mohammad Samizadeh Nikoo, Alessandro Floriduz Past EPFL PhD Students a
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.
Cécile HardebolleCurrent work
Responsible information systems (https://go.epfl.ch/digitalethics), ethical skills Jupyter notebooks for education (https://go.epfl.ch/notebooks), digital skills, computational thinking Transversal/professional skillsEngineering design skillsFlipped classrooms Project-based learning
Education PhD | Computer Science 2006 – 2008 Université Paris-Sud XI, France Directed by Prof. Guy Vidal-Naquet MSc | Electrical Engineering, major in Computer and Inf Johanni Michael BreaTeaching & PhD PhD Students Aude Maier, Lucas Louis Gruaz, Flavio Martinelli Courses Artificial intelligence and society HUM-286 This course integrates social sciences and humanities with engineering sciences, and introduces students to the social, technical and political issues surrounding artificial intelligence. Biological data science II : machine learning BIO-322 Students understand basic concepts and methods of machine learning. They can describe them in mathematical
Amaury Pierre Jiezhi WeiExpertise
Deep Learning, Computer Vision, Physics Informed Machine Learning, Graph Neural Networks
Amaury obtained his Master's degree in Robotics from the Federal Institute of Technology in Lausanne (EPFL) in 2021.Before joining IMOS, he worked for multiple years at Logitech Europe S.A. as a Software Engineer in the field of Augmented and Virtual Reality. He researched 6DoF tracking solutions for handheld devices, developed the firmware and designed the testing strategy for the MR Stylus MX Ink.During his
Cristian GalpertiExpertise
Control systems design and commissioning, especially involving complex scientific research architectures. Electronics engineering, embedded systems design and programming. Mechanical engineering, servo actuator systems design and commissioning.
Current Work
In charge of the direction of the control systems service of the Swiss Plasma Center
Education Ph.D. in Computer Science | 2005 – 2009 Politecnico di Milano Master degree in Electronics Engineering | 1998
Loris Di NataleExpertise
(Deep) Machine Learning, (Deep) Reinforcement Learning, Building Control
Yingzhao LianYingzhao graduated with a MSc in Mechanical Enginerring from EPFL in 2018. He specialized in optimization and learning theory. He jointly conducted his master’s thesis with the Automatic Control Lab, EPFL and ABB Corporate Research, Baden, where he investigated the problem of data-driven model based optimal control. In August 2018, he joined the Automatic Control Laboratory at EPFL as a PhD student under the supervision of Professor Colin Jones.
Chen LiuI am a PhD candidate at the School of Computer and Communication Sciences (IC), École Polytechnique Fédérale de Lausanne (EPFL), supervised by Prof. Sabine Süsstrunk and co-supervised by Dr. Mathieu Salzmann. Previously, I obtained my Master Degree from École Polytechnique Fédérale de Lausanne (EPFL) in 2017 and Bachelor Degree from Tsinghua University in 2015, both in Computer Science.
Yifan HuExpertise
Optimization, Operations Research, Reinforcement Learning
I am a Postdoc with Prof. Daniel Kuhn from EPFL and Prof. Andreas Krause from ETH Zurich. Prior to that, I got my PhD in Operations Research from University of Illinois at Urbana-Champaign, advised by Prof. Xin Chen and Prof. Niao He. My research interest lies in data-driven decision-making with problems arising from optimization, operations research, and statistics. See Research for research directions and Publication for papers.
