Get to know your neighbors

Prof. Bryan ford

12 June 2023

Alex Persat

Date TBC

Maria Brbic

Machine learning methods for biomedical discovery

Mats Stensrud

On optimal treatment regimes assisted by algorithms

Dr. Wouter Saelens – Deplancke Lab

Mountains in our DNA

Prof. Michael Herbst

“An interdisciplinary perspective on robust materials simulations”

Prof. Pascal Fua

Deep Surface Meshes

Prof. Alexander Mathis

Multi-individual pose estimation, identification and tracking

Prof. Touradj Ebrahimi

JPEG AI: The next generation of learning based image compression

Prof. Kathryn Hess

The case for diversifying your mathematical toolbox

Prof. Jean-Philippe Thiran

Microstructure imaging by diffusion MRI: modeling, simulation, machine learning, application to brain imaging and more

Prof. Antoine Bosselut

Neuro-symbolic Scaffolds for Commonsense Representation and Reasoning

Prof. Edoardo Charbon

Photon counting cameras for quantum imaging applications

Prof. Josie Hughes

Improving Robot Design: Data-Driven Approaches to Design & Fabrication

Prof. Matteo Dal Peraro

From Integrative Structural Biology to Bioengineering

Prof. Maryam Kamgarpour

Learning for safety and coordination in uncertain dynamical systems

Prof. Olga Fink

“Domain adaptation and hybrid algorithms fusing physics-based…”

Prof. Philippe Schwaller

Accelerating Chemical Synthesis with Transformers

Prof. Paolo De Los Rios

Exploring the sequence landscape space of proteins

Prof. Paolo Ricci and Dr. Alessandro Pau

Can artificial intelligence and machine learning…

Prof. Tanja Kaeser

Machine Learning to Understand and Improve Human Learning

Prof. Stefana Parascho

The Robot in the Loop: On Multi-Agent Construction Approaches

Prof. Gabriele Manoli

On trees and cities

Prof. Giuseppe Carleo

Machine learning in quantum science and quantum computing

Prof. Bruno Correia

Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning

Prof. Nicolas Boumal

Geometry and symmetry in non-convex optimization

Prof. Sahand Jamal Rahi

Using neural networks to analyze microscopy images

Prof. Devis Tuia

Machine learning on the Earth system with remote sensing

Prof. Jürg Schiffmann

Steps towards automated design

Prof. John Maddocks

DNA and Big Data

Prof. Marcel Salathé

Crowdsourcing ML + Applied Machine Learning Days (AMLD)

Prof. Pavan Ramdya

Reverse-engineering Drosophila movement control toward applications in robotics

Prof. Jean-Pierre Hubaux

Sharing without Sharing – Secure and Privacy-Conscious Federated Analytics

Prof. Semyon Malamud

The Economy as a Complex (Intelligent?) System: Using Mathematics and Data Science to Understand (and Improve) the World we Live in

Prof. Michel Herzog

Do we really measure what we believe we are measuring?

Prof. Mark Pauly

Towards Intelligent Material Systems

Prof. Sofia Olhede & Prof. Amir Zamir

Prof. Martin Jaggi & Prof. Negar Kiyavash

Prof. Michele Ceriotti

Physics-inspired machine learning for materials discovery

Prof. Jamie Paik

The hard challenges in soft robotics

Prof. Alexandre Alahi

Socially aware AI for last-mile mobility

Prof. Simone Deparis

Modeling and simulation of vascular flows: Reduced order modeling and physics based neural network

Prof. Lenka Zdeborova

Insights on gradient-based algorithms in high-dimensional non-convex learning

Dr. Pascal Mieville

AI for chemistry ?

Prof. Frédéric Courbin

Intelligent systems for astrophysics and cosmology

Prof. Mackenzie Mathis

Using mice and machine learning to understand cortical contributions to forelimb motor adaptation