Rizlan Bernier-LatmaniHIGHER EDUCATION
Summer course: Advances in Genome Technology and Bioinformatics Course at the Marine Biology Laboratory in Woods Hole, MA. October 2005.
Ph.D. 2001 Civil and Environmental Engineering, Stanford University, CA
(Advisor, Jim Leckie, Biodegradation of uranyl (UO22 )-complexed citrate and implications for uranyl mobility in the subsurface)
M.S. 1995 Civil and Environmental Engineering, Stanford University, CA
B.S. 1993 Natural Resources with Honors, Cornell University, Ithaca, NY
PROFESSIONAL EMPLOYMENT
2013-present Associate professor with tenure, School of Architecture, Civil and Environmental Engineering, Swiss Federal Institute of Technology, Lausanne
2005-2013 Assistant professor tenure track, School of Architecture, Civil and Environmental Engineering, Swiss Federal Institute of Technology, Lausanne
2001-2005 Post-Graduate Researcher, Scripps Institution of Oceanography, La Jolla, CA (PI: Brad Tebo)
1995-2001 Graduate Research Assistant, Stanford University (Advisor: Jim Leckie)
RESEARCH INTERESTS
Gemicrobiology, metal-bacteria interactions, biological reduction and oxidation of metals, biological nanoparticle formation; Characterization of microbial communities in terrestrial environments; Using genomic, microscopic and spectroscopic tools to understand metal transformations by microorganisms.
ACADEMIC HONORS
Rotary Foundation University Professor grant, 2004.
Swiss National Science Foundation Post-doctoral Fellowship, 2001.
Leon B. Reynolds Memorial Scholarship in the School of Engineering at Stanford University, 1995-96.
Graduated with Honors from Cornell University, 1993.
BIBLIOMETRY
http://www.researcherid.com/rid/E-4398-2011
ResearcherID: E-4398-2011 Harm-Anton KlokExpertise
Polymer design at nanoscaleBiologically-inspired polymers
Mission
Research at the Laboratory of Polymer (LP) focuses on the development of novel advanced polymeric materials with potential applications in optics, electronics or medicine. The philosophy is that precise control over nanoscale structure is an important prerequisite to tailor polymer properties. To this end, a “bottom-up” approach is followed, which starts with designing a new material at the molecular level, in order to be able to pr
Pierre DillenbourgA former teacher in elementary school, Pierre Dillenbourg graduated in educational science (University of Mons, Belgium). He started his research on learning technologies in 1984. In 1986, he has been on of the first in the world to apply machine learning to develop a self-improving teaching system. He obtained a PhD in computer science from the University of Lancaster (UK), in the domain of artificial intelligence applications for education. He has been assistant professor at the University of Geneva. He joined EPFL in 2002. He has been the director of Center for Research and Support on Learning and its Technologies, then academic director of Center for Digital Education, which implements the MOOC strategy of EPFL (over 2 million registrations). He is full professor in learning technologies in the School of Computer & Communication Sciences, where he is the head of the CHILI Lab: "Computer-Human Interaction for Learning & Instruction ». He is the director of the leading house DUAL-T, which develops technologies for dual vocational education systems (carpenters, florists,...). With EPFL colleagues, he launched in 2017 the Swiss EdTech Collider, an incubator with 80 start-ups in learning technologies. He (co-)-founded 4 start-ups, does consulting missions in the corporate world and joined the board of several companies or institutions. In 2018, he co-founded LEARN, the EPFL Center of Learning Sciences that brings together the local initiatives in educational innovation. He is a fellow of the International Society for Learning Sciences. He currently is the Associate Vice-President for Education at EPFL.
Bruno LemaitrePersonal Webpage
http://brunolemaitre.ch
Personal Webpage http://brunolemaitre.ch
Teaching & PhD PhD Students Blandine Ribotta, Yao Tian, Désirée Popelka, Prince Kumar Sah, Siqi Wang, Kenan Krakovic, Nathan Alexandre Klotz Past EPFL PhD Students Sveta Chakrabarti, Olivier Binggeli, Jeremy Keith Herren, Juan Camilo Paredes Escobar, Alfred Chng, Maroun Bou Sleiman, Jan Paul Dudzic, Mario Gonzalo Garcia Arraez, Claudia Melcarne, Alice Marra, Bianca Marie Petrignani, Mark Austin Hanson, Alexia Laurie Carboni Cristina Ramona Cudalbu MoldovanCristina Cudalbu obtained her Bachelors of Science degree in Medical Physics in 2002 and Masters of Science degree in Biophysics and Medical Physics in 2003, both from University Babes-Bolyai, Cluj-Napoca, Romania. In 2006 she obtained her PhD degree in Localized Proton MRS and time domain quantification of cerebral metabolites at 7T and 4.7T at University Lyon 1, RMN Laboratory, Villeurbanne, France.In 2007, she joined, as a Scientist, the Laboratory for Functional and Metabolic Imaging at EPFL, where she implemented new acquisition and quantification techniques for in vivo nitrogen, proton and carbon MRS for preclinical studies. Starting 2012, Cristina Cudalbu was appointed as Research Staff Scientist and 9.4T MRI Operational Manager at Centre d’Imagerie Biomédicale (CIBM) at EPFL. She is now developing new research lines at CIBM, being oriented towards new acquisition and quantification techniques for in vivo proton, phosphorous, carbon, nitrogen MRS and fast MRSI, diffusion weighted spectroscopy and brain macromolecules quantification. She is now applying these developments on chronic hepatic encephalopathy, a research area that she developed at CIBM (https://actu.epfl.ch/news/when-liver-disease-affects-the-brain/), and on different collaborative projects with researchers from the five partner institutions of CIBM. Devis TuiaI come from Ticino and studied in Lausanne, between UNIL and EPFL. After my PhD at UNIL in remote sensing, I was postdoc in Valencia (Spain), Boulder (CO) and EPFL, working on model adaptation and prior knowledge integration in machine learning. In 2014 I became Research Assistant Professor at University of Zurich, where I started the 'multimodal remote sensing' group. In 2017, I joined Wageningen University (NL), where I was professor of the GeoInformation Science and Remote Sensing Laboratory. Since 2020, I joined EPFL Valais, to start the ECEO lab, working at the interface between Earth observation, machine learning and environmental sciences.
Graham KnottGraham Knott received his degree in physiology from the University of Southampton, UK, in 1990, and his PhD in neuroscience from the University of Tasmania, Australia, in 1995. He moved to the University of Lausanne in Switzerland in 1999 where he researched the plasticity of neuronal connectivity in the adult brain, developing correlative light and electron microscopy methods for the analysis of in vivo imaged neurons. In 2006 Graham joined the Ecole Polytechnique Fédérale de Lausanne, establishing the Bio Electron Microscopy Facility and has continued his research interests in brain plasticity and 3D electron microscopy.
Xile HuXile Hu was born in 1978 in Putian, southeastern China. He entered the Peking University in Beijing in 1996. Besides learning too little chemistry, his biggest regret in the college was not able to correct his southern accent in Mandarin. After graduated from PKU, he went to the United States and began his doctoral studies at the University of California, San Diego. In December 2004, he finished with a Ph.D. in chemistry and some fond memories of the beautiful city of San Diego. He then moved to the Los Angeles area and become a postdoctoral scholar at the California Institute of Technology. There he enjoyed numerous stimulating scientific (and other) discussions with friends and colleagues. He also made plenty of friends outside the campus and was a frequent in many local Chinese restaurants. In 2007, after two pleasant visits to Switzerland, he decided to move across the continent one more time and join the faculty of the École Polytechnique Fédérale de Lausanne (EPFL). He now directs the Laboratory of Inorganic Synthesis and Catalysis and is interested in developing chemistry for synthesis, energy and sustainability.
Jürgen BruggerI am a Professor of Microengineering and co-affiliated to Materials Science. Before joining EPFL I was at the MESA Research Institute of Nanotechnology at the University of Twente in the Netherlands, at the IBM Zurich Research Laboratory, and at the Hitachi Central Research Laboratory, in Tokyo, Japan. I received a Master in Physical-Electronics and a PhD degree from Neuchâtel University, Switzerland. Research in my laboratory focuses on various aspects of MEMS and Nanotechnology. My group contributes to the field at the fundamental level as well as in technological development, as demonstrated by the start-ups that spun off from the lab. In our research, key competences are in micro/nanofabrication, additive micro-manufacturing, new materials for MEMS, increasingly for wearable and biomedical applications. Together with my students and colleagues we published over 200 peer-refereed papers and I had the pleasure to supervise over 25 PhD students. Former students and postdocs have been successful in receiving awards and starting their own scientific careers. I am honoured for the appointment in 2016 as Fellow of the IEEE “For contributions to micro and nano manufacturing technology”. In 2017 my lab was awarded an ERC AdvG in the field of advanced micro-manufacturing.
Babak FalsafiBabak is a Professor in the School of Computer and Communication Sciences and the founding director of the EcoCloud, an industrial/academic consortium at EPFL investigating scalable data-centric technologies. He has made numerous contributions to computer system design and evaluation including a scalable multiprocessor architecture which was prototyped by Sun Microsystems (now Oracle), snoop filters and memory streaming technologies that are incorporated into IBM BlueGene/P and Q and ARM cores, and computer system performance evaluation methodologies that have been in use by AMD, HP and Google PerKit . He has shown that hardware memory consistency models are neither necessary (in the 90's) nor sufficient (a decade later) to achieve high performance in multiprocessor systems. These results eventually led to fence speculation in modern microprocessors. His latest work on workload-optimized server processors laid the foundation for the first generation of Cavium ARM server CPUs, ThunderX. He is a recipient of an NSF CAREER award, IBM Faculty Partnership Awards, and an Alfred P. Sloan Research Fellowship. He is a fellow of IEEE and ACM.
Olivier MartinOlivier J.F. Martin received the M.Sc. and Ph.D. degrees in physics in 1989 and 1994, respectively, from the Swiss Federal Institute of Technology, Lausanne (EPFL), Switzerland. In 1989, he joined IBM Zurich Research Laboratory, where he investigated thermal and optical properties of semiconductor laser diodes. Between 1994 and 1997 he was a research staff member at the Swiss Federal Institute of Technology, Zurich (ETHZ). In 1997 he received a Lecturer fellowship from the Swiss National Science Foundation (SNSF). During the period 1996-1999, he spent a year and a half in the U.S.A., as invited scientist at the University of California in San Diego (UCSD). In 2001 he received a Professorship grant from the SNSF and became Professor of Nano-Optics at the ETHZ. In 2003, he was appointed Professor of Nanophotonics and Optical Signal Processing at the Swiss Federal Institute of Technology, Lausanne (EPFL), where he is currently head of the Nanophotonics and Metrology Laboratory and Director of the Microengineering Section.
