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
Thorsten SchmittTeaching & PhD PhD Students Zhijia Zhang Past EPFL PhD Students as codirector Yi Tseng Courses Neutron and X-ray Scattering of Quantum Materials PHYS-640 Neutron and X-ray scattering are some of the most powerful and versatile experimental methods to study the structure and dynamics of materials on the atomic scale. This course covers basic theory, instrumentation and scientific applications of these experimental methods.
Suliana ManleyFrom 2016 Associate professor, EPFL, Lausanne, Switzerland
2009-2016 Tenure-track assistant professor, EPFL, Lausanne, Switzerland
2006-2009 Post-Doctoral fellow, National Institutes of Health, Bethesda, MD, USA
2004-2006 Post-Doctoral fellow, Massachusetts Institute of Technology, Cambridge, MA, USA
1999-2004 PhD (Physics) Awarded 06/2004, Harvard University, Cambridge, MA, USA
1993-1997 Bachelors (Cum Laude) Physics & Mathematics, Rice University, Houston, TX, USA
John Martin KolinskiDr. Kolinski studied Applied Mathematics (Sc.M.) and Applied Physics (Ph.D.) at Harvard University, completing a PhD under the supervision of L. Mahadevan and Shmuel Rubinstein on the role of air in droplet impact. John did his post-doc at the Hebrew University of Jerusalem in Israel supported by the Fulbright post-doctoral fellowship. At HUJI, he worked on interfacial instabilities in soft matter in the labs of Eran Sharon and Jay Fineberg. John continues his research into interfacial mechanics at EPFL in EMSI, his newly founded laboratory for the study of Engineering Mechanics of Soft Interfaces.
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
Roberto CastelloRoberto Castello is a senior scientist and group leader at the EPFL Laboratory of Solar Energy and Building Physics. Physicist by training, he has extensive experience in collecting, classifying and interpreting large datasets using advanced data mining techniques and statistical methods. He received his MSc (2007) in Particle Physics and PhD (2010) in Physics and Astrophysics from the University of Torino. He worked as a postdoctoral researcher at the Belgian National Research Fund (2011-2014) and at the CERN Experimental Physics Department (2015-2017) as a research fellow and data scientist. He is primary author of more than 20 peer-reviewed publications and he presented at major international conferences in the high energy physics domain.
In 2018 he joined the Solar Energy and Building Physics Laboratory (LESO-PB) to work on data mining and Machine Learning techniques for the built environment and renewable energy. His main research interests are: spatio-temporal modeling of renewable energy potential, energy consumption forecasting techniques, anomaly detection, and computer vision techniques for automated classification in the built environment.
He leads the group of Urban Data Mining, Intelligence and Simulation at LESO-PB and he is a member of the NRP75 Big Data project (HyEnergy) of the Swiss National Science Foundation. He is a member of the Swiss Competence Centre for Energy Research (SCCER) and deputy leader of the working group on Leveraging Ubiquitous Energy Data. He has served as a scientific committee member, workshop organizer and speaker at international conferences (ICAE 2020, Applied Machine Learning Days 2019 and 2020, CISBAT 2019 and 2021 and SDS2020).
Since 2017 he is member of the Geneva 2030 Ecosystem network, promoting the United Nations agenda towards the realization of the Sustainable Development Goals (SDGs).
Sangwoo KimSangwoo Kim is set to join EPFL as a Tenure Track Assistant Professor in September 2023. Prior to his appointment at EPFL, he served as a postdoctoral fellow in the Department of Mechanical Engineering at the University of California, Santa Barbara. He earned his graduate degree in Theoretical and Applied Mechanics from the University of Illinois at Urbana-Champaign, where his research delved into the relationships between statistics, geometry, and mechanical states in cellular matters. Currently, his research focus on fundamental understanding of biological and living systems, as well as the study of soft and active matter employing principles from mechanics and physics. His research interests encompass embryonic development, tissue morphogenesis, structure and mechanics of soft materials, inherent structure of amorphous materials, and non-equilibrium dynamics of active matter.
Jian Rui SohEducation DPhil | Condensed Matter Physics 2016 – 2019 University of Oxford BSc | Physics 2012 – 2015 Imperial College London
