Sahand Jamal RahiExpertise
- Biophysics- Statistical mechanics- Systems biology- Computational biology- Genetics
Enseignement et PhD Doctorant·es actuel·les Alisa Gross, Matthieu Schmidt, Marco Labagnara, Lorenzo Scutteri, Haozong Zeng A dirigé les thèses EPFL de Ahmad Sadeghi, Mahsa Barzegarkeshteli, Vojislav Gligorovski, Roxane Oesterle Cours Biophysics : physics of biological systems PHYS-302 Comprendre et utiliser la génétique des populations, la dynamique des populations, la théorie des réseaux et la
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 expression Protein purification Protein-protein interactions X-ray crystallography Structural biology Biophysical techniques
Enseignement et PhD Cours Integrative structural biology for Life sciences BIO-643 Recombinant protein expression in animal cells for applications in medicine and structural biology BIO-701
Juan Cruz Landoni MartinExpertise
Mitochondria, Microscopy, Metabolism, Aging, Mitochondrial diseases, Mitochondrial DNA, Biophysics
Wouter Richard KarthausEnseignement et PhD Doctorant·es actuel·les Jillian Rose Love, Estelle Deby, Ester Simkova, Turan Badalli Cours Cellular and molecular biology II BIO-207 Ce cours est destiné à familiariser les étudiants avec l'organisation 3-dimensionnelle d'une cellule eucaryote, sa compartimentalisation, comment des compartiments communiquent entre eux et comment une cellule communique avec son environment. Les mécanismes moléculaires sous jascents seront abordés. Practical - Karthaus Lab BIO-
Milena Maria SchuhmacherEnseignement et PhD Doctorant·es actuel·les Mélissa Ruiz, Gary Domeniconi, Linda Wedemann Cours Chemical Biology Seminar Series 1 CH-635 Chemical Biology Seminar Series 2 CH-636 Chemical Biology Seminar Series 3 CH-637 Practical - Schuhmacher Lab BIO-618
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 OatesExpertise
developmental biology, embryology, patterning, oscillators, synchronisation, biological timing, segmentation, morphegenesis, gene regulatory networks, intercellular signalling, single cell imaging, microscopy, image processing, physics of biology, mathematical modelling, collective processes
Expertise
developmental biology, embryology, patterning, oscillators, synchronisation, biological timing, segmentation, morphegenesis, gene regulatory networks, intercellular signalling, single cell imaging, m
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
