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
Manuel Guizar SicairosTeaching & PhD PhD Students Aknur Karabay, Pengju Sheng, Wenxuan Fang Courses Physical Optics and Advanced Imaging PHYS-715 This course gives an introduction to principles of Fourier and physical optics, numerical propagation, and sampling. On the second half the course covers topics of advanced imaging, including 3 external lecturers who are experts in application or development of advanced imaging techniques.
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
Zoë HolmesTeaching & PhD PhD Students Ricard Puig, Sacha Lerch, Reyhaneh Aghaei Saem, Shao Hen Chiew, Weijie Xiong, Marc Sanz Drudis, Mehrad Sahebi, Manuel Rudolph Courses Quantum information theory PHYS-550 After recapping the basics of quantum theory from an informationtheoretic perspective, we will cover more advanced topics inquantum information theory. This includes introducing measures of quantum information, and developing a more advanced understanding quantum states, channels and measurement
Keivan Faghih NiresiExpertise
Computational sensing/imaging, Inverse problems, Signal processing, Graph neural networks, Domain adaptation.
Keivan is a PhD student at école Polytechnique Fédérale de Lausanne (EPFL). He joined the Intelligent Maintenance and Operations Systems (IMOS) Lab under the supervision of Prof. Olga Fink in February 2023.Prior to joining EPFL, he obtained his master's degree from the Institute of Communications Engineering, College of Electrical Engineering and Computer Science, National Tsing Hua Univer
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
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
Marianne LiebiMarianne Liebi is Tenure-Track Assistant Professor at EPF Lausanne and head of the Laboratory for X-ray characterization of materials (cam-X) and the group “
Structure and Mechanics of Advanced Materials
” at PSI. She has been appointed in 2021 at EPFL where she is part of the Institute of Materials within the School of Engineering. Marianne Liebi studied Food Science at ETH Zurich where she also obtained her PhD in 2013 in the Laboratory of Food Process Engineering lead by Prof. Erich J. Windhab. Within this project started using small-angle neutron scattering at PSI for the characterization of soft-matter, namely of magnetic alignable self-assembly structures. As a Postdoc in the coherent X-ray scattering group at the Swiss Light Source she worked from 2013-2016 on method development in SAXS tensor tomography. In 2016 she moved to Sweden where after a short period at the NanoMAX beamline, MAXIV Laboratory, Lund she started her own research group in 2017 as Assistant Professor at the Chalmers University of Technology, Gothenburg, and became Docent in Physics in spring 2020. She kept her affiliation at Chalmers University of Technology, where still part of her group is located (
Liebi research group
) when moving back to Switzerland in 2020 where she was Scientific Group Leader in the Center for X-ray Analytics at Empa, St.Gallen, before starting the joint position between EPFL and PSI in November 2021.
Simone IadanzaTeaching & PhD Courses Nanophotonics MICRO-516 Students understand and apply the physics of the interaction of light with semiconductors. They understand the operating mechanism of scaled photonic devices such as photodetectors, LEDs and lasers, as well as challenges and opportunities relating to their integration and dimensional scaling.
Felix WechslerExpertise
Computational Optics especially for 3D printing.Developer of packages in the Julia Lang ecosystem.
Education Photonics | Master of Science 2019 – 2021 Friedrich Schiller University of Jena, Germany Computer Science | Bachelor of Science 2015 – 2019 Technical University of Munich, Germany Physics | Bachelor of Science 2014 – 2019 Technical University of Munich, Germany
Stefana ParaschoTeaching & PhD PhD Students Jingwen Wang, Gabriel Vallat, Maxence Grangeot, Eleni Maria Skevaki, Wenqian Yang, Megi Sinani Courses Capitalizing on Uncertainty AR-809 SUMMER SCHOOL - Capitalizing on Uncertainty is a 6-day Summer school exploring uncertainty as a productive resource in design and fabrication through lectures, hands-on experiments, and the collaborative design and construction of a full-scale structure in a human-robot fabrication setting. Digital design and making: A criti
Georgios MoschidisTeaching & PhD PhD Students Abraham Gabriel Dorsaz Courses Analysis IV (for EL, GM, MX) MATH-207(c) This course serves as an introduction to the theory of complex analysis, Fourier series and Fourier transforms, the Laplace transform, with applications to the theory of ordinary and partial differential equations. These tools play an integral role in most branches of science and engineering. Differential geometry I - curves and surfaces MATH-213 This course serves as an intr
Alisa DavydovaEducation BSc in Physics | Department of Theoretical physics, Classical and Quantum Field Theory 2015 – 2019 Lomonosov Moscow State University MSc in Photonics and Quantum Materials | Nanomaterials application for Nonlinear Optics 2019 – 2021 Skolkovo Institute of Science and Technology
