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
Myrto LimniosTeaching & PhD Courses Empirical processes MATH-522 We learn how to control the nonasymptotic and random behavior of collections of estimators, when indexed by classes of functions/sets. Examples range from prototypical estimators used by statisticians, to nonparametric models used in machine learning. Regression methods MATH-408 General graduate course on regression methods
Rajita Ramesh ChandakExpertise
Nonparametric estimation, statistical inference, theory of machine learning
Teaching & PhD Courses Nonparametric estimation and inference MATH-524 Nonparametric models are used to identify a wide range of relationships within data. This course gives a graduate-level overview of nonparametric statistical estimation and inference theory. Statistical inference MATH-562 Inference from the particular to the general based on probability models is central to the statistica
Vittorio ErbaTeaching & PhD Courses Statistical physics of computation PHYS-512 The students understand tools from the statistical physics of disordered systems, and apply them to study computational and statistical problems in graph theory, discrete optimisation, inference and machine learning.
Federico AmatoI have an MSc in Engineering and a Ph.D. in Sustainable Development and Innovation Engineering. After a three-year Postdoc in Environmental Data Mining, in 2021 I joined the Swiss Data Science Centre, a joint venture between the polytechnical schools of Lausanne (EPFL) and Zurich (ETH) having as mission the acceleration of the digital transformation of the academic community and the industrial sector, putting to work Artificial Intelligence and Machine Learning and facilitating the multidisciplinary exchange of data and knowledge.
Over the years I worked on the development of methodological tools to mine and model big spatiotemporal datasets. I extensively applied such methods to study the interaction between the spatial and temporal components of environmental and geographical phenomena, and their consequences in terms of spatial planning and urban geography. My academic activity has focused on the analysis of land-use dynamics and their relationship with climate, pollution, natural hazards, and other social/economic phenomena. I have deep competencies in applied statistics, machine learning, geocomputation, spatial statistics, urban modeling, and remote sensing. I am also an expert in European Project development and implementation.
Pawel DuchExpertise
My present research focuses on the intersection between probability theory, PDE theory and Euclidean quantum field theory. I am especially interested in problems involving singular stochastic partial differential equations and renormalization. I have also a background in mathematical aspects of perturbative and axiomatic quantum field theory as well as general relativity.
I am a postdoctoral researcher in the group of Martin Hairer. Previously, I was a postdoc at Adam Mickiewicz University in Pozn
Charlotte Cäcilie Gertrud BunneCharlotte Bunne is an assistant professor at EPFL in the School of Computer and Communication Sciences (IC) and School of Life Sciences (SV). She is part of the Swiss Institute for Experimental Cancer Research (ISREC) and the EPFL AI Center. Before, she was a PostDoc at Genentech and Stanford working with Aviv Regev and Jure Leskovec and completed a PhD in Computer Science at ETH Zurich working with Andreas Krause and Marco Cuturi. During her graduate studies, she was a visiting researcher at the Broad Inst
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
Baraka Jean-Claude MunyakaEducation Doctorate | Industrial & Systems Engineering 2021 – 2021 University of Pretoria Masters | Insdustrial Engineering 2014 – 2014 Durban University of Technology Professionals experiences Industrial Engineer Consultant 2012–2022 Tsanyela, XIG Minerals, Volticor Enterprises, Durban; Snackworks, Durban; Microfinish Manufacturing, Durban; Nampak Flexible, Durban; Emcor Flexible, CapeTown;Industrial Engineer 2009–2010 Smith’s Plastics Ltd, Durban
Teaching &
Yunxuan SongTeaching & PhD Courses Master project in Physics PHYS-599(b) The student realises a research project in a physics laboratory or in a company.
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
Georg Michael Joachim StarkeDr. Georg Starke is a postdoctoral researcher at the College of Humanities at EPFL, working in the
Intelligent Systems Ethics Group
. As member of the
Hybrid Minds
project, Georg’s research examines the ethics of using artificial intelligence in medicine, with particular regard to neurological and psychiatric applications. Beyond AI ethics, Georg is also interested in history and philosophy of science, philosophy of psychiatry, medical ethics, and questions at the intersection of philosophy of mind and comparative psychology.
Georg has been trained in medicine and in philosophy, concluding both studies with a respective doctoral degree. He studied medicine at the Technical University of Munich and was visiting student at the University of Buenos Aires, the Hebrew University Jerusalem, and the University of Oxford. His medical doctoral thesis investigated subcortical correlates of social fear, using model-based fMRI. In parallel to his medical studies, Georg obtained a BA in philosophy from the Munich School of Philosophy and an MPhil in History, Philosophy and Sociology of Science, Technology and Medicine from the University of Cambridge. His PhD in bioethics at the University of Basel, defended in 2022, shed light on the notion of trust in medical AI and scrutinized the trustworthiness of clinical AI appliances with particular view to fairness and explainability.
Andrea CavalliTeaching & PhD PhD Students Alessia Ghidini Courses Drug Discovery CH-630 The course gives an overview of drug discovery. Computational methods in drug design and discovery, including methods for free energy and residence time, drug-target interactions, pharmacodynamics, pharmacokinetics, and drug delivery,biophysical methods, interaction including ITC, SPR, MST, and NMR.
