Kevin SivulaSee webpage for more info limno.epfl.ch
Teaching & PhD PhD Students Odile Louise Andres, Arthur Eliot Bouchez, Benjamin Goldman, Nicolas Johannes Diercks, Aurélie Fanny Marie Célérien, Jiajun Li, Louise Marie Foltzer-De Cian, Melanie Victoria Johanning, Nils William Laurent Golay Past EPFL PhD Students Andrea Gasperini, Pauline Bornoz, Xavier Adrian Jeanbourquin, Xiaoyun Yu, Mathieu Steven Prévot, Muhammad Aiman Bin Rahmanudin Hamdan, Nhât-Tân Vuong, Yongpeng Liu, Arvindh Sekar, Barbara Alexandra Primera
Natacha PascheDr. Natacha Tofield Pasche is a limnologist with strong interests in biogeochemical processes in lakes. Environmental Engineer from EPFL, she accomplished her PhD on nutrient cycling and methane production in Lake Kivu. From 2009 to 2013, she worked for the Government of Rwanda to create a monitoring program on Lake Kivu, to check the impacts from methane extraction plants. Since September 2013, she is the Deputy Director of the Center of Limnology at EPFL. She coordinated the science, logistic of expeditions and finances of two large research projects. The first one aimed at mapping water quality using innovative aerial images, and the second investigated the life under ice in Lake Onego. As project leader, she managed the creation of LéXPLORE platform, that collects innovative and high-frequency data on Lake Leman, and coordinates the different research projects.
Demetri PsaltisResearch group
Teaching & PhD PhD Students Victoria Fay, Colin Nikhil Christian Past EPFL PhD Students Wuzhou Song, Alexandre Goy, Julien Cuennet, Ioannis Papadopoulos, Xin Yang, Grégoire Pierre Jean Laporte, Thomas Jean Victor Marie Lanvin, Seyyed Mohammad Hosseini Hashemi, Nicolino Stasio, Morteza Hasani Shoreh, Marilisa Romito, Pooria Hadikhani, Eirini Kakkava, Joowon Lim, Giulia Panusa, Ahmed Bassam Sayed Ayoub Mohamed Ayoub, Amirhossein Saba, Niyazi Ulas Dinç Past EPFL PhD
Guillaume Romain ObozinskiGuillaume Obozinski is Deputy Chief Data Scientist at the Swiss Data Science Center. He graduated with a PhD in Statistics from UC Berkeley in 2009. He did his postdoc and held until 2012 a researcher position in the Willow and Sierra teams at INRIA and Ecole Normale Supérieure in Paris. He was then Research Faculty at Ecole des Ponts ParisTech until 2018. Guillaume has broad interests in statistics and machine learning and worked over time on sparse modeling, optimization for large scale learning, graphical models, relational learning and semantic embeddings, with applications in various domains from computational biology to computer vision.
Stefano MischlerStefano Mischler obtained the diploma in materials science in 1983 at the Swiss Federal Institute of Technology ETHZ in Zurich. He accomplished his PhD thesis in the field of surface analysis and corrosion at the Materials department of the Swiss Federal Institute of Technology EPFL in Lausanne in 1988. In the years 1989-1990 he held a postdoctoral position at the United Kingdom Atomic Energy Establishment in Harwell (Oxfordshire) where he developed novel quantification procedures for Auger Electron Spectroscopy and high lateral resolution surface analytical methods for fiber reinforced ceramics. In 1991 he joined the newly created Tribology group at the Laboratory for Metallurgical Chemistry of the EPFL where he developed research activities in the field of wear-corrosion interactions (tribocorrosion) and of tribological coatings. He is currently head of the tribology group and is developing a reserach and training activity devoted to modern aspects of tribology and surface science and technology, including surface chemical effects in tribology, biotribology and biocorrosion, tribology in microfabrication processes and wear protection methods. In 2006 he spent a sabbatical leave of 3 months at the Tokyo Medical and Dental University, Institute of Biomaterials.
Mats Julius StensrudTeaching & PhD PhD Students Ignacio Gonzalez Perez, Gellért Géza Perényi, Lorenzo Gasparollo, Julien David Laurendeau Past EPFL PhD Students Matias Janvin, Amit Sawant Courses Causal thinking MATH-352 This course will give a unified presentation of modern methods for causal inference. We focus on concepts, and we will present examples and ideas from various scientific disciplines, including medicine, computer science, engineering, economics and epidemiology. Probability and statistics (
Amir JafargholiTeaching & PhD PhD Students Senlu Zhou Courses Antennas EE-446 The students will first learn the fundamental principles governing antennas and get familiar with the main antenna types. In the second part, students will work in groups on an antenna design project. Through this, they will learn to use common simulation tools, and perform antenna measurements
