Marilyne AndersenMarilyne Andersen is a Full Professor of Sustainable Construction Technologies and heads the Laboratory of Integrated Performance in Design (LIPID) that she launched in the Fall of 2010. She was Dean of the School of Architecture, Civil and Environmental Engineering (ENAC) at EPFL from 2013 to 2018 and is the Academic Director of the Smart Living Lab in Fribourg. She also co-leads the Student Kreativity and Innovation Laboratory (SKIL) at ENAC. Before joining EPFL as a faculty, she was an Assistant Professor then Associate Professor tenure-track in the Building Technology Group of the MIT School of Architecture and Planning and the Head of the MIT Daylighting Lab that she founded in 2004. She has also been Invited Professor at the Singapore University of Technology and Design in 2019. Marilyne Andersen owns a Master of Science in Physics and specialized in daylighting through her PhD in Building Physics at EPFL in the Solar Energy and Building Physics Laboratory (LESO) and as a Visiting Scholar in the Building Technologies Department of the Lawrence Berkeley National Laboratory in California. Her research lies at the interface between science, engineering and architectural design with a dedicated emphasis on the impact of daylight on building occupants. Focused on questions of comfort, perception and health and their implications on energy considerations, these research efforts aim towards a deeper integration of the design process with daylighting performance and indoor comfort, by reaching out to various fields of science, from chronobiology and neuroscience to psychophysics and computer graphics. She is leveraging this research in practice through OCULIGHT dynamics, a startup company she co-founded, which offers specialized consulting services on daylight performance and its psycho-physiological effects on building occupants. She is the author of more than 200 papers published in peer-reviewed journals and international conferences and the recipient of several grants and awards including: the Daylight Award for Research (2016), eleven publication awards and distinctions (2009, 2011, 2012, 2015, 2018, 2019) including the Taylor Technical Talent Award 2009 granted by the Illuminating Engineering Society, the 3M Non-Tenured Faculty Grant (2009), the Mitsui Career Development Professorship at MIT (2008) and the EPFL prize of the Chorafas Foundation awarded to her PhD thesis in Sustainability (2005). Her research or teaching has been supported by professional, institutional and industrial organizations such as: the Swiss and the U.S. National Science Foundations, the Velux Foundation, the European Horizon 2020 program, the Boston Society of Architects, the MIT Energy Initiative and InnoSuisse. She was the leader and faculty advisor of the Swiss Team and its NeighborHub project, who won the U.S. Solar Decathlon 2017 competition with 8 podiums out of 10 contests. She is a member of the Board of the LafargeHolcim Foundation for Sustainable Construction and Head of its Academic Committee. She is also a member of the Editorial Board of the journal Building and Environment by Elsevier, and of the journals LEUKOS (of the Illuminating Engineering Society) and Buildings and Cities, by Taylor and Francis. She is expert to the Innovation Council of InnoSuisse and Founding member as well as Board member of the Foundation Culture du Bâti (CUB), and is also founding member of the Daylight Academy and an active member of several committees of the Illuminating Engineering Society (IES) and International Commission on Illumination (CIE).
Vassily HatzimanikatisDr. Vassily Hatzimanikatis is currently Associate Professor of Chemical Engineering and Bioengineering at Ecole Polytechnique Federale de Lausanne (EPFL), in Lausanne, Switzerland. Vassily received a PhD and an MS in Chemical Engineering from the California Institute of Technology, and his Diploma in Chemical Engineering from the University of Patras, in Greece. After the completion of his doctoral studies, he held a research group leader position at the Swiss Federal Institute of Technology in Zurich (ETHZ), Switzerland. Prior to joining EPFL, Vassily worked for three years in DuPont, Cargill, and Cargill Dow, and he has been assistant professor at Northwestern University, at Illinois, USA.
Vassilys research interests are in the areas of computational systems biology, biotechnology, and complexity. He is associate editor of the journals Biotechnology & Bioengineering, Metabolic Engineering and Integrative Biology, and he serves on the editorial advisory board of the journals Bioprocess and Biosystems Engineering, Journal of Chemical Technology and Biotechnology, and Industrial Biotechnology. He has written over 70 technical publications and he is co-inventor in three patents and patent applications.
Vassily is a fellow of the American Institute for Medical and Biological Engineering (2010), he was a DuPont Young Professor (2001-2004), and he has also received the Jay Bailey Young Investigator Award in Metabolic Engineering (2000), and the ACS Elmar Gaden Award (2011).
Jan Van HerleBorn in Antwerp, Belgium. In Switzerland since 1983. Became Swiss citizen in 2004 out of conviction of principles of democracy and bottom-up participation. No double nationality. Village Council Member for 2 five-year mandates in 2006-2016.
1987 : Chemist from Basel University (CH).
1988 : Post-graduate IT diploma from Basel Engineering School.
1989 : Industry internship ABB Baden (CH).
1990-1993 : PhD Thesis EPFL, on Solid Oxide Fuel Cell cathode reaction mechanisms.
1994-1995 : Japanese Postdoctoral Fellowship in Tsukuba, Japan, on ceramic powders.
1995-2000 : Researcher at EPFL, Dpt. Chemistry : project responsible in PPM2 (materials), FP4-BriteEuram, NEDO (Japan), Swiss Gas Union (CH, oxygen membranes).
1998-2000 : Masters in Energy Technology, EPFL.
2000 : Cofounder of HTceramix SA (EPFL spin-off), now based in Yverdon (14 employees). Taken over by SOLIDpower in 2007, now 250 employees with 70 MCHF raised.
2000 : 1st Assistant and lecturer at LENI (STI-IGM) : fuel cell group responsible, projects on biogas (Federal Energy Office), woodgas (CCEM), fuel cell stacking (CTI, FP6, FNS), ceramic separation membranes (COST, FNS), microtubes (STI Seed), stability/lifetime/reliability in fuel cells (Electricité de France, swisselectric research). Currently 4 Ph D theses ongoing, 14 theses concluded, of which 5 colateral with SB and IMX. M.E.R. since Nov 2008.
Total funding raised so far >18 MCHF (50% as main applicant; 30% outside CH; 20% industry).
Scientific output : >135 peer-reviewed publications, >120 conference papers, 40 invited presentations (8 keynotes), >70 granted proposals.
Fluent in 5 languages (Dutch, French, German ( Swiss-german), English, Spanish).
Martin JaggiMartin Jaggi is a Tenure Track Assistant Professor at EPFL, heading the Machine Learning and Optimization Laboratory. Before that, he was a post-doctoral researcher at ETH Zurich, at the Simons Institute in Berkeley, and at École Polytechnique in Paris. He has earned his PhD in Machine Learning and Optimization from ETH Zurich in 2011, and a MSc in Mathematics also from ETH Zurich.
Lenka ZdeborováLenka Zdeborová is a Professor of Physics and of Computer Science in École Polytechnique Fédérale de Lausanne where she leads the Statistical Physics of Computation Laboratory. She received a PhD in physics from University Paris-Sud and from Charles University in Prague in 2008. She spent two years in the Los Alamos National Laboratory as the Director's Postdoctoral Fellow. Between 2010 and 2020 she was a researcher at CNRS working in the Institute of Theoretical Physics in CEA Saclay, France. In 2014, she was awarded the CNRS bronze medal, in 2016 Philippe Meyer prize in theoretical physics and an ERC Starting Grant, in 2018 the Irène Joliot-Curie prize, in 2021 the Gibbs lectureship of AMS. She is an editorial board member for Journal of Physics A, Physical Review E, Physical Review X, SIMODS, Machine Learning: Science and Technology, and Information and Inference. Lenka's expertise is in applications of concepts from statistical physics, such as advanced mean field methods, replica method and related message-passing algorithms, to problems in machine learning, signal processing, inference and optimization. She enjoys erasing the boundaries between theoretical physics, mathematics and computer science.
Alireza KarimiAlireza Karimi received his B. Sc. and M. Sc. degrees in Electrical Engineering in 1987 and 1990, respectively, from Amir Kabir University (Tehran Polytechnic). Then he received his DEA and Ph. D. degrees both on Automatic Control from Institut National Polytechnique de Grenoble (INPG) in 1994 and 1997, respectively. He was Assistant Professor at Electrical Engineering Department of Sharif University of Technology in Teheran from 1998 to 2000. Then he joined Automatic Laboratory of Swiss Federal Institute of Technology at Lausanne, Switzerland. He is currently Professor of Automatic Control and the head of "Data-Driven Modelling and Control" group. His research interests include data-driven controller tuning and robust control with application to mechatronic systems and electrical grids.
Volkan CevherVolkan Cevher received the B.Sc. (valedictorian) in electrical engineering from Bilkent University in Ankara, Turkey, in 1999 and the Ph.D. in electrical and computer engineering from the Georgia Institute of Technology in Atlanta, GA in 2005. He was a Research Scientist with the University of Maryland, College Park from 2006-2007 and also with Rice University in Houston, TX, from 2008-2009. Currently, he is an Associate Professor at the Swiss Federal Institute of Technology Lausanne and a Faculty Fellow in the Electrical and Computer Engineering Department at Rice University. His research interests include machine learning, signal processing theory, optimization theory and methods, and information theory. Dr. Cevher is an ELLIS fellow and was the recipient of the Google Faculty Research award in 2018, the IEEE Signal Processing Society Best Paper Award in 2016, a Best Paper Award at CAMSAP in 2015, a Best Paper Award at SPARS in 2009, and an ERC CG in 2016 as well as an ERC StG in 2011.
