Katharina MüllerEducation Master's degree in Molecular and Cellular Biology | 2023 – 2023 University Heidelberg Bachelor's degree | 2020 – 2020 University Heidelberg
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
Radoslav MarchevskiTeaching & PhD PhD Students Jou An Chen, Tobias Alexandre Monnard, Xiafei Chang, Gauri Napoletano, Kerim Guseinov, Noémie Duc Courses Particle physics I PHYS-415 Presentation of particle properties, their symmetries and interactions.Introduction to quantum electrodynamics and to the Feynman rules. Particle physics: the flavour frontiers PHYS-471 This course will present experimental aspects of flavour physics primarily in the quark sector but also in the lepton sector and
Luis Miguel Garcia MartinTeaching & PhD Courses Master project in Physics PHYS-599(b) The student realises a research project in a physics laboratory or in a company. Particle physics: the flavour frontiers PHYS-471 This course will present experimental aspects of flavour physics primarily in the quark sector but also in the lepton sector and their role in the development of the Standard Model of particle physics.
Anni Matilda KauniskangasCurrent Work
I am currently working as a doctoral researcher as a part of Prof. Shchutska's group in experimental particle physics. I am a member of the LHCb and SND@LHC collaborations. My PhD thesis work is mainly focused on performing a measurement of a rare B-meson decay process using the data from the LHCb experiment.
Education MSci Physics | 2018 – 2022 Imperial College London
ResearchCurrent Research Fields Experimental high-energy physics (flavour physics)
Teaching & PhDPast teachin
Geovani RizkExpertise
Distributed Machine Learning, Robustness, Safety, Optimization, Multi-Agent, Bandits in Graphs
I am a postdoctoral researcher at école Polytechnique Fédérale de Lausanne since 2022, where I work with Rachid Guerraoui on robustness of distributed machine learning algorithms. From 2018 to 2022, I completed my Ph.D. in computer science at Université Paris Dauphine-PSL on multi-agent bandits in graphs under the supervision of Yann Chevaleyre, Rida Laraki, Igor Colin, and Albert Thomas.Pre-prints Over
Roberto RibattiTeaching & PhD Courses Specialisation semester PHYS-597 Students have the opportunity to apply their knowledge in a project contributing to specialize them in a physics field. The project can take place in an external or internal laboratory or in a research institute.
Esteban Curras RiveraTeaching & PhD Courses Master project in Physics PHYS-599(b) The student realises a research project in a physics laboratory or in a company. Specialisation semester PHYS-597 Students have the opportunity to apply their knowledge in a project contributing to specialize them in a physics field. The project can take place in an external or internal laboratory or in a research institute.
Alexandre Brea RodriguezTeaching & PhD Courses Selected topics in nuclear and particle physics PHYS-400 This course presents the physical principles and the recent research developments on three topics of particle and nuclear physics: the physics of neutrinos, dark matter, and plasmas of quarks and gluons. An emphasis is given on experimental aspects in these three research fields.
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
Sayan BiswasExpertise
Decentralized Machine Learning and Federated Learning focusing on Privacy, Fairness, and Personalization; Secure and Trustworthy Distributed Systems; Differential Privacy; Location Privacy.
Sayan Biswas (CV) is a Postdoctoral Researcher in the Scalable Computing Systems (SaCS) lab at EPFL, Switzerland, led by Prof. Anne-Marie Kermarrec. He completed his PhD in Computer Science at INRIA and école Polytechnique in France, under the supervision of Prof. Catuscia Palamidessi. Prior to that, Sayan stud
Alexander DittrichCurrent Work
My research interests are somewhere between neural networks with Hebbian plasticity, meta-reinforcement learning, and the control of rather unconventional soft robotic platforms like tensegrity robots.
