Siara Ruth IsaacExpertise
Higher education teaching and learningExperiential and hands-on learningTransversal skills for engineering studentsEpistemic cognition
Education Ph.D., Educational Research | 2021 – 2021 Lancaster University, UK Directed by Paul Ashwin M.Sc., Bio-Organic Chemistry | 2008 – 2008 McGill University, Montreal Directed by Masad Damha B.Sc., Honours Chemistry | 2001 – 2001 McGill University, Montrea
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.
Isabelle Barbara Marie-Hélène CardiaCandidature à l’AE et au Conseil de faculté
To motivate my engagement within the School Assembly and the Faculty Council, I would like to highlight my background and experience at EPFL. With fourteen years of experience within the institution, an intentionally atypical professional trajectory, and a background in the humanities, I bring a transversal and original perspective that I am keen to place at the service of the School Assembly and the STI Faculty.Throughout my career at EPFL, I have held administra
Maria BrbicMaria Brbic is an assistant professor in computer science at EPFL. Prior to joining EPFL, Maria was a postdoctoral researcher in Computer Science at Stanford University working with Jure Leskovec. She received her PhD degree from University of Zagreb in 2019, while also researching at Stanford University and University of Tokyo. Her research was awarded with the Fulbright Scholarship, L’Oreal UNESCO for Women in Science Scholarship, Branimir Jernej award for outstanding publication in biology and biomedicine, and Josip Loncar Silver Plaque award for the best doctoral dissertation. She has been named a Rising Star in EECS by MIT in 2021. Her research is focused on developing new machine learning methods and applying her methods to advance biomedical research.
Roland John TormeyI am a sociologist and learning scientist researching and teaching on engineering education. I'm particularly focused on the roles of emotion and self-regulation in engineering teaching and learning. My profile is accessible here.
Bryan Alexander FordLinks
DEDIS lab home pagePersonal home page
Curriculum vitae https://bford.info/cv.pdf
Teaching & PhD PhD Students Shailesh Mishra Past EPFL PhD Students Eleftherios Kokoris Kogias, Kirill Nikitin, Cristina Basescu, Enis Ceyhun Alp, Simone Colombo, Pasindu Nivanthaka Tennage, Louis-Henri Manuel Jakob Merino Past EPFL PhD Students as codirector David Froelicher, Ludovic Barman, Georgia Fragkouli Courses Decentralized systems engineering CS-438 A decentralized system is one that works when n 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.
Andrea AblasserTeaching & PhD PhD Students Ekaterina Gorbacheva, Iris Arianna Dorschel, Tieliang Gan, Yu Meng Past EPFL PhD Students Simone Margret Haag, Sélène Glück, Marilena Wischnewski, Sophie Rivara, Natasha Samson Courses Immunology - advances and therapeutic implications BIO-479 The students acquire advanced level knowledge regarding the functioning of the (vertebrate) immune system. A strong focus is placed on the molecular mechanisms underlying innate and adaptive immune responses and their impl
Jérémy Alain La Scala-JayetJérémy La Scala is a PhD candidate in Learning Sciences at the école Polytechnique Fédérale de Lausanne. He received a Bachelor and a Master of Science in Microengineering from the same institution where he specialised in low-power embedded systems for the Internet of Things. His current research interests lie in digital affordances for supporting design and project-based learning, especially in engineering education. In particular, he investigates how web-based collaborative applications helps in scaffoldi
Romain GuietExpertise
Development of BioImage Analysis workflows and algorithms to extract quantitative data from microscopy images.BioSample Preparation : in vitro cell, organoid, time-lapse, fixation, staining strategies, actin, mitochondria, fluorescent protein expressionBioImage Acquisition : Widefield, Confocal, Whole Slide Imaging, Super-resolution (SIM, STORM, STED), FRET, FRAP, FLIMBioImage Analysis: Colocalisation analysis, Deconvolution, Time-lapse , Whole Slide ImagingTools & Software: ImageJ/Fiji, QuPath, i
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