Elisa OricchioExpertise
Cancer geneticsMouse modelsTherapyStem cellsLymphoma
Teaching & PhD PhD Students Vamsi Krishna Polavarapu, Asli Ece Kasapoglu, Konstantina Georgakopoulou, Eleni Balli Past EPFL PhD Students Maria Christine Donaldson, Elena Battistello, Daniel Pereira Duarte, Frédérica Schyrr, Ruxandra-Andreea Lambuta, Aaron Simone Petruzzella, Jixing Zhong, Justine Epiney Courses Cancer biology I BIO-471 The course covers in detail molecular mechanisms of cancer development with emphasis on cell
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
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.
Francesco StellacciFrancesco Stellacci graduated in Materials Engineering at the Politecnico di Milano in 1998 with a thesis on photochromic polymers with Prof. Giuseppe Zerbi and Mariacarla Gallazzi. In 1999 he moved to the Chemistry Department of the University of Arizona for as a post-doc in the group of Joe Perry in close collaboration with the group of Seth Marder. In 2002 he moved to the Department of Materials Science and Engineering at the Massachusetts Institute of Technology as an assistant professor. He was then promoted to associate without (2006) and with tenure (2009). In 2010 he moved to the Institute of Materials at EPFL as a full Professor. He holds the Alcan EP Chair. Francesco was one of the recipients of the Technology Review TR35 "35 Innovator under 35" award in 2005, and the Popular Science Magazine "Brilliant 10" award in 2007. He has been a Packard Fellow starting 2005.
Anne-Laure Mahul MellierExpertise
Cellular Biology: Cell culture of mammalian cell lines (U2OS, N2a, M17, SH-S5Y5, Cos, HeLa, HEK, MCF7), Astrocytic and neuronal primary cultures (hippocampus, cortex, striatum, midbrain) from P0 mouse or rat pups or from E16-E19 mice embryos, iPSC neuronal cultures (proliferation, passaging, differentiation in iNeurons or iDopaminergic neurons), Cellular transfection (DNA plasmid, siRNA, shRNA), Lentiviruses production and infection of neuronal primary cultures or mammalian cell lines, Samples pre
Christoph KochExpertise
knows everything ;-)
Publications
My publications in Google ScholarMy publications in DBLPMy papers on EPFL's publications server (InfoScience)Prospective PhD students and postdocs please read this before contacting me.
Christoph Koch is a professor of Computer Science at EPFL, specializing in data management. Until 2010, he was an Associate Professor in the Department of Computer Science at Cornell University. Previously to this, from 2005 to 2007, he was an Associate Professor of Computer Scienc
Marion LeleuExpertise
Bioinformatics, Genomics, High-Throughput Sequencing, Data Mining
Mission
Provide advanced and personalised support and consulting in bioinformatics and biostatistics for the scientific community of EPFL, UNIL, and other Institutes.Her main areas of interest and expertise include but are not limited to, genomics, transcriptomics and epigenetics, with a strong interest in integrating multiple modalities, and choosing the appropriate statistical models, to gain a comprehensive understanding of compl
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