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
Camille Véronique Bernadette GoemansCamille's research focuses on understanding how antibiotics and non-antibiotic drugs affect the diverse bacteria from the human gut microbiota and how they contribute to dysbiosis and the development of antibiotic resistance. To achieve this goal, she combines systems approaches with molecular microbiology, bacterial genetics and biochemistry.She obtained her Bachelor's and Master's degrees in Biomedical Sciences from the UCLouvain, Belgium, after which she completed her PhD (FRIA national fellowship) at th
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
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
Jonathan Yuelin DongTeaching & PhD PhD Students Zhiyuan Hu Past EPFL PhD Students as codirector Yan Liu
Giovanni D'AngeloTeaching & PhD PhD Students Mélissa Ruiz, Gary Domeniconi, Irmak Kaysudu, Alessandro Valente, Surayyo Akramkhanova, Jean Andrea Maillat, Linda Wedemann, Manel Leila Nadia Boussouf, Jiayan Lin, Nika Gorsek, Christina Ulrich, William Daniel Chan-Ha Verdier Past EPFL PhD Students Laura Capolupo, Jaipreet Singh Loomba, Halima Hannah Emilie Schede Past EPFL PhD Students as codirector Muhammad Umair Anwar Courses Biological chemistry II BIO-213 Biochemistry is a key discipline in the Life Scienc
Olga FinkTeaching & PhD PhD Students Han Sun, Leandro Von Krannichfeldt, Keivan Faghih Niresi, Zepeng Zhang, Vinay Sharma, Chenghao Xu, Raffael Pascal Theiler, Kevin Antonio Steiner, Sergei Garmaev, Amaury Wei Past EPFL PhD Students Ismail Nejjar, Mengjie Zhao Courses Data Science for infrastructure condition monitoring CIVIL-332 The course will cover the relevant steps of data-driven infrastructure condition monitoring, starting from data acquisition, going through the steps pre-processing of real
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
Ianina AltshulerTeaching & PhD PhD Students Haohua He, Anna Dukat, Laureen Sarah Ahlers, Anastasiia Kosolapova, Grace Emma Marsh Courses Biology ENV-103 This course will cover the fundamental principles governing life and the living world. Topics will include the diversity of living organisms, cellular biology, genetics, evolution, and ecology. This course provides a foundation in biology, fostering critical thinking & analytical skills. EESS - CESS Seminar Course - option 1 (FALL) ENV-630(a)
Nicolas ThomäTeaching & PhD PhD Students David Domjan, Pierre Alexander Miranda Herrera, Laurin Tim Kanis, Alessandro Minafra, Pau Reolid Coll Courses Practical - Thomä Lab BIO-624 Expression and purification of recombinant proteins are key methods in our lab studying protein machines on a structural level and ways in which they can be reprogrammed by small molecules. In the course, we will express and purify proteins and biophysically characterise them. Trends in chemical biology and drug discovery
Elise Rose ErayTeaching & PhD Courses Practical - Antanasijevic Lab BIO-614 The students will learn: 1) how to handle viral protein antigens and antibody samples 2) how to assemble and purify immune complexes using liquid chromatography 3) how to image them on an electron microscope
Victor Carle Adrien BoureauExpertise
Aberration-corrected TEM and STEMQuantative microscopyElectron diffractionStrain mapping (GPA, precession 4D-STEM)Electric and magnetic field mapping (electron holography, DPC, 4D-STEM)
Teaching & PhD Past EPFL PhD Students as codirector Pierpaolo Ranieri Courses Scanning and Analytical Transmission Electron Microscopy MSE-735 This intensive course discusses advanced TEM techniques such as: scanning TEM; analytical TEM using EELS and EDX; aberration corrected imaging; and image s
Lenka ZdeborováLenka Zdeborová is a Professor of Physics and of Computer Science in École Polytechnique Fédérale de Lausanne where she leads the Statistical Physics of Computation Laboratory. She received a PhD in physics from University Paris-Sud and from Charles University in Prague in 2008. She spent two years in the Los Alamos National Laboratory as the Director's Postdoctoral Fellow. Between 2010 and 2020 she was a researcher at CNRS working in the Institute of Theoretical Physics in CEA Saclay, France. In 2014, she was awarded the CNRS bronze medal, in 2016 Philippe Meyer prize in theoretical physics and an ERC Starting Grant, in 2018 the Irène Joliot-Curie prize, in 2021 the Gibbs lectureship of AMS. She is an editorial board member for Journal of Physics A, Physical Review E, Physical Review X, SIMODS, Machine Learning: Science and Technology, and Information and Inference. Lenka's expertise is in applications of concepts from statistical physics, such as advanced mean field methods, replica method and related message-passing algorithms, to problems in machine learning, signal processing, inference and optimization. She enjoys erasing the boundaries between theoretical physics, mathematics and computer science.
Gioele La MannoTeaching & PhD PhD Students Albert Dominguez Mantes, Xinyi Huang, Laura Lapeña Gil, Alessandro Valente, Luca Fusar Bassini, Hao-An Hsiung, Alireza Gargoorimotlagh, Morgane Alice Storey, Rosan Martine Hans, María Cristina Loureiro Casalderrey, Lada Polyakova Past EPFL PhD Students Alex Russell Lederer, Irina Khven Past EPFL PhD Students as codirector Alexandre Coudray, Alex Russell Lederer, Halima Hannah Emilie Schede, Irina Khven Courses Biological data science I: statistical learning BIOENG-210
