Vittorio ErbaEnseignement et PhD Cours Statistical physics of computation PHYS-512 Les étudiants comprennent les outils de la physique statistique des systèmes désordonnés et les appliquent pour étudier des problèmes d'informatique et de statistiques en théorie des graphes, en optimisation discrète, ainsi qu'en inférence et en apprentissage automatique.
Antoine BosselutAntoine Bosselut is an assistant professor at EPFL. He leads the EPFL NLP group, which conducts research on natural language processing (NLP) systems that can model, represent, and reason about human and world knowledge.
Prior to joining EPFL, he was a postdoctoral researcher at Stanford University working in the
SNAP
and
NLP
groups and a young investigator on the
Mosaic
project at the
Allen Institute for AI
. He completed his PhD at the University of Washington.
Sanggyu ChongSanggyu "Raymond" Chong obtained his BS, MS and PhD degrees in Chemical and Biomolecular Engineering from Korea Advanced Institute of Science and Technology (KAIST), where he primarily focused on the computational design of metal-organic frameworks for applications ranging from gas storage to functional electronics. In March 2022, Sanggyu joined COSMO as a postdoctoral researcher, and he is currently investigating the robustness of local and/or component-wise predictions made by atomistic machine learning m
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
Kai RenKai Ren received his Bachelor's degree in Electrical Engineering from the University of Victoria, and his Master's degree in Electrical and Computer Engineering from the University of British Columbia, Canada. His research interest is the safe motion planning of autonomous systems in uncertain and dynamic environments. His master's thesis investigated a safe and risk-aware Model Predictive Control framework under multimodal environmental uncertainties. Education M.ASc | Electrical and Computer Enginee
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
Jiancheng YangI am a 4th-year PhD student in the Department of Electronic Engineering, Shanghai Jiao Tong University, advised by Prof. Bingbing Ni. I received BEng and MEng degree in the Department of Automation from the same university. Enrolled in a double master degree program, I spent 2 years in France with an Engineer degree. I was a visiting research fellow in Visual Computing Group at Harvard University. I am now visiting EPFL CVLAB, working with Prof. Pascal Fua.I focus on medical image analysis, 3D computer vision and trustworthy machine learning, with a clinical emphasis on lung cancer and thoracic diseases. I have (co-)first-authored more than 10 papers on top-tier journals / conferences, e.g., Cancer Research, CVPR, MICCAI and NeurIPS. I was a reviewer for more than 10 prestigious venues, a top-ranking participant for several AI competitions, and the lead organizer for MICCAI 2020 RibFrac Challenge.Updated on April, 2021.
Mohammad Ali ShaeriExpertise
Neural Engineering, Neural Signal Processing, Neural Decoding, Neural Prosthesis, Brain Machine Interface
Siba Smarak PanigrahiExpertise
Geometric Deep Learning, Generative Models
I am a Ph.D. at école Polytechnique Fédérale de Lausanne (EPFL) working with Prof. Maria Brbic in the Brbic Lab. My research interests span geometric deep learning, generative models, and computer vision.Previously, I was a visiting researcher at ServiceNow Research in the Multimodal Foundation Models team, building foundation model for structured document understanding. I was also a Research Intern at PROSE at Microsoft, working on designing algorithms a
