Katia GalanExpertise
Histology, genomics, cosec and BSO
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
Natalya KatanayevaTeaching & PhD Courses Practical - Oricchio Lab BIO-603(O) Training in hemato-oncology. Analysis and genetic manipulation of hematopoietic progenitor cells.Morphological recognition of main hematopoietic lineages.
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
Fosco Bernasconi2014-Present:
post-doc at the EPFL, Laboratory of Congitive Neuroscience.
2012-2014:
Postdoctoral Research Associate, Charité University Medicine, Berlin, Germany.
2012:
Postdoctoral Research Associate,Psychiatric University Hospital (PUK), Zurich, Switzerland.
2008-2011:
PhD in Neurosciences,Lemanic Neurosciences Doctoral School, Faculty of Biology and Medicine, Lausanne University, Switzerland.
2007-2008:
Master in Medical Biology,Faculty of Biology & Medicine, Lausanne University,Switzerland.
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.
Maria Giulia PretiMaria Giulia Preti received her Ph.D. in Bioengineering at Politecnico di Milano (Milan, Italy) in 2013, after her M. Sc. (2009) and B. Sc. (2007) in Biomedical Engineering, as well at Politecnico di Milano. During her Ph.D., mentored by Prof. Giuseppe Baselli, she focused on advanced techniques of brain magnetic resonance imaging, in particular she developed a method of groupwise fMRI-guided tractography, that revealed to be useful in the in-vivo investigation of the pathophysiological changes across the evolution of Alzheimers disease. For this project, she had been collaborating full-time with the hospital Fondazione Don Gnocchi in Milan (Magnetic Resonance Laboratory). In 2011, she was awarded a Progetto Rocca fellowship from MIT-Italy and spent a visiting research period at the MIT and Harvard Medical School (Boston, USA), under the supervision of Prof. Nikos Makris, where she could focus on the anatomical study of specific neruonal bundles.
She has joined Prof. Van De Ville group at EPFL as a post-doc in 2013. Her current research aims at understanding the connections between brain functionality and brain microscopic anatomy by using advanced techniques of Magnetic Resonance Imaging. In particular, she is working on functional MRI, functional connectivity, diffusion tensor imaging and tractography, integration of MRI with other techniques (e.g. EEG), and the application of these methods to several clinical contexts, e.g., epilepsy, Alzheimer's disease and mild cognitive impairment, multiple sclerosis, attention deficit hyperactivity disorder.
Ivan FurfaroIvan Furfaro received his Master Degree in Biomedical Engineering in Italy at Politecnico di Torino, in 2015. He did his Master Thesis in Switzerland at EPFL in collaboration with the Italian Institute of Technology (IIT), by validating and implementing a new technique to decrease power consumption and size for EMG acquisition systems. In 2016 he started working in the Translational Neural Engineering Lab - EPFL as scientific assistant to design and develop sensorized wearable system for rehabilitation purposes. In the same year he started approaching the world of entrepreneurship, by developing innovative ideas in different fields, which led him to win different prizes, as the international EUROBIKE award in 2018 with his startup, Spearoad. He continued to follow his interest and passion for interdisciplinary research and for biomedical applications, and he currently works as biomedical engineer in the Soft BioElectronic Interface Lab - EPFL, where he takes care of the electro-mechanical assessments and validation for new stretchable materials and applications developed in the lab.
