Sahand Jamal RahiExpertise
- Biophysics- Statistical mechanics- Systems biology- Computational biology- Genetics
Teaching & PhD PhD Students Alisa Gross, Matthieu Schmidt, Marco Labagnara, Lorenzo Scutteri, Haozong Zeng Past EPFL PhD Students Ahmad Sadeghi, Mahsa Barzegarkeshteli, Vojislav Gligorovski, Roxane Oesterle Courses Biophysics : physics of biological systems PHYS-302 Understand and use the results and methods of population genetics, population dynamics, network theory, and reaction network dynami
Anne-Florence Raphaëlle BitbolI was trained in physics, and always had a strong interest in biology. I am broadly interested in understanding biological phenomena in a quantitative way, through physical concepts and mathematical and computational tools. I investigate the relative impacts of optimization and historical contingency in biological evolution, both at the scale of protein sequences and at the scale of microbial populations.Here is my research group website.Curriculum vitae Here is my complete CV. Professional experience:Since
Kelvin Ka Ching LauExpertise
Protein expressionProtein purificationProtein characterizationProtein-protein interactionsX-ray crystallographyStructural biologyProtein biophysics
Mission
I am trained in biochemistry and structural biology and have keen interest in protein-protein interactions. Here to help solve your problems!
Education PhD | Biochemistry and Molecular Biology 2008 – 2014 University of British Columbia Directed by Filip van Petegem Bachelor of Science | Honours Bi
Juan Cruz Landoni MartinExpertise
Mitochondria, metabolism, mitochondrial DNA, superresolution microscopy, ageing
Mission
Dissecting the dynamic orchestration between mitochondria and metabolism underlying health, disease and ageing using advanced imaging and integrative multi-omics.
Current Work
I am a chemist turned mitochondria enthusiast. Using molecular biology, super-resolution microscopy and smart imaging techniques, I aim to decipher the complex behaviour of the tiny intruders that live inside our cells, mitochondria, and
Wouter Richard KarthausTeaching & PhD PhD Students Jillian Rose Love, Estelle Deby, Ester Simkova, Turan Badalli Courses Cellular and molecular biology II BIO-207 This course is aimed to familiarize students with the 3D organization of a eukaryotic cell, its compartmentalization, how cellular compartments communicate together and how a cell communicates with its environment. The related molecular mechanisms will be discussed. Practical - Karthaus Lab BIO-616 Students will learn 1) how organoids c
Milena Maria SchuhmacherResearchSchuhmacher Lab & Chemical and Membrane Biology It's all about the lipids: In the Schuhmacher Lab we are interested in answering outstanding questions in membrane biology. Our chemical biology approach opens the door to investigate the so far mostly invisible and thus secret work of lipids. In particular, we would like to understand the biological role of lipid diversity and their impact on signaling processes.
Teaching & PhD PhD Students Mélissa Ruiz, Gary Domeniconi, Linda Wedemann Courses
Benjamin Alexander Kellenberger2020–: Postdoctoral Researcher, EPFL, Sion, Switzerland2020: Postdoctoral researcher, Wageningen University, Netherlands2017–2020: PhD (cont'd); Wageningen University, Netherlands2016–2017: PhD; University of Zurich, Switzerland2009–2014: BSc. and MSc. in geography (remote sensing and GIS) and computer science; University of Zurich, Switzerland
Martin SchrimpfExpertise
NeuroAI, computational neuroscience, computer vision, natural language processing, human alignment, startups [CV]
Mission
Modeling the brain: Martin's research focuses on a computational understanding of the neural mechanisms underlying natural intelligence in vision and language. To achieve this goal, he bridges Deep Learning, Neuroscience, and Cognitive Science, building artificial neural network models that match the brain’s neural representations in their internal processing and are aligned to
Andrew Charles OatesAfter an undergraduate degree in Biochemistry at the University of Adelaide with Honours in Robert Saint’s lab, Andrew Oates received his Ph.D. at the Ludwig Institute for Cancer Research and the University of Melbourne in the lab of Andrew Wilks. His postdoctoral time was at Princeton University and the University of Chicago in the lab of Robert Ho, where his studies on the segmentation clock in zebrafish began in 1998. In 2003 he moved to Germany and started his group at the Max Planck Institute for Molecular Cell Biology and Genetics in Dresden. In 2012 he accepted a position at University College London as Professor of vertebrate developmental genetics and moved his group to the MRC-National Institute for Medical Research at Mill Hill in London. From April 2015, he became a member of the Francis Crick Institute in London. In September 2016, he joined École polytechnique fédéral de Lausanne (EPFL) in Switzerland as a Professor, where he is the head of the Timing, Oscillation, Patterns Laboratory. From April 2018 he served as Director of the Institute of Bioengineering, and from January 2021 became the Dean of the School of Life Sciences.
The Timing, Oscillation, Patterns Laboratory is composed of biologists, engineers, and physicists using molecular genetics, quantitative imaging, and theoretical analysis to study a population of coupled genetic oscillators in the vertebrate embryo termed the segmentation clock. This system drives the rhythmic, sequential, and precise formation of embryonic body segments, exhibiting rich spatial and temporal phenomena spanning from molecular to tissue scales.
Lazar MilikicExpertise
LLMs (Large Language Models), NLP (Natural Language Processing), Automated Reasoning
Mission
My work focuses on developing robust methods for autoformalization and automated theorem proving using large language models. I aim to enhance the reasoning reliability of modern AI systems by reducing hallucinations, improving predictability, and integrating formal verification techniques and tools into LLM-based pipelines.
Before joining EDIC, I completed a Bachelor’s in Mathematics and Computer Science
