Hannes Markus PeterCurrent work
I am a microbial ecologist and mainly interested in factors shaping bacterial communities and functioning in freshwater ecosystems. I use combinations of field observations, experiments and molecular techniques to test hypotheses regarding the assembly of microbial communities, the influence of environmental variability and relationships between diversity and funcioning. I enjoy working in alpine environments, which are sensitive to climate change and represent excellent model systems.
Teaching
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.
Sara BonellaExpertise
Simulation and modelling of condensed phase systems, quantum and classical dynamics and statistical mechanics, adiabatic dynamics for classical polarizable models and first principles simulations, classical charge transport for systems in external magnetic fields.
Expertise
Simulation and modelling of condensed phase systems, quantum and classical dynamics and statistical mechanics, adiabatic dynamics for classical polarizable models and first principles simulations, classical charge transport for
Paolo BenettinI was born in Padova, Italy, in 1986. After high school, I started the Environmental Engineering program at the University of Padova (Bachelor and Master), where I followed the 'soil protection' curriculum. During my Master studies I spent a semester as Erasmus student at Wageningen University (Wageningen, the Netherlands) to follow courses in Hydrology. After graduation, I decided to bring my education further and I started a Ph.D. at the civil and environmental engineering department at the University of Padova. My Ph.D. thesis focused on hydrologic transport and travel time distributions at the catchment scale. My contribution to the subject included both new theoretical formulations and extensive numerical applications to real catchments. During my Ph.D., I also spent 7 months as visiting research fellow at Virginia Tech University (Blacksburg, USA). Since I arrived at EPFL as post-doc in 2015, I started being involved in field and experimental activities, which allowed me to learn about practical experimental problems. In 2017 I had the opportunity to by hired by the ECHO laboratory as a permanent scientist, conducting research in the field of catchment hydrology.
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
Dasaraden MaureeExpertise
Climatology, Fluid Dynamics, Meteorology, Atmospheric SciencesAtmospheric Modeling, Atmospheric Physics, Mesoscale Meteorology, Boundary Layer Meteorology, Energy Use and Efficiency in Urban Areas
Expertise
Climatology, Fluid Dynamics, Meteorology, Atmospheric SciencesAtmospheric Modeling, Atmospheric Physics, Mesoscale Meteorology, Boundary Layer Meteorology, Energy Use and Efficiency in Urban Areas
Current work
I am currently the lead researcher of the Urban System Simulation group and currently
Tom Ian BattinTeaching & PhD PhD Students Zhe Liu, Aleksei Dukat, Martin Boutroux, Jingyi Hou, Léa Francomme, Stefan Eckensperger Past EPFL PhD Students Amin Niayifar, David Scheidweiler, Asa Lovisa Viktoria Horgby, Marta Boix Canadell, Pier Luigi Segatto, Anna Depetris, Jade Brandani, Massimo Bourquin, Jonas Paccolat, David Touchette Past EPFL PhD Students as codirector Jeremy Wong Courses Aquatic ecosystems ENV-321 Inland waters are now being recognized are major players of global biogeochemical cycle
Dan AssoulineExpertise
- Geographic Information Systems, Applied Machine Learning, Renewable energy potential mapping
Education Phd | Energy / Machine Learning 2014 – 2019 EPFL MSc | Civil and Envrionmental Engineering 2012 – 2013 UC Berkeley MSc | Civil Engineering 2010 – 2013 Ecole Sp�ciale des Travaux Publics (ESTP) BSc | Applied Mathematics 2008 – 2010 Lyc�e Saint Louis (Classes Pr�paratoires aux Grandes Ecoles)
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