Talks & poster sessions

2023

Gaussian Processes for the inference of partially known mechanistic models used for clinical trial data analysis

Abstract: Gaussian Processes (GPs) generalize the multivariate normal distribution to the infinite dimensional case, enabling the …

Nov 13, 2023 10:00 AM Bordeaux Population Health, Bordeaux, France

Slides

Multi-Fidelity Bayesian Optimization with Unreliable Information Sources

Bayesian optimization (BO) is a powerful framework for optimizing black-box, expensive-to-evaluate functions. Over the past decade, …

May 15, 2023 2:00 PM Aalto University, Espoo, Finland

Poster Slides

Human-In-The-Loop Machine Learning for Health

Many health sciences related tasks involve limited amounts of data : pharmacogenetics, drug design, clinical trial design, etc. These …

Feb 2, 2023 9:00 AM Bordeaux Population Health, Bordeaux, France

Slides

Reactmine - a search algorithm for inferring chemical reaction networks from time series data

Inferring chemical reaction networks (CRN) from time series data is a challenge encouraged by the growing availability of quantitative …

Jan 3, 2023 10:30 AM Centre de Recherche en Informatique, Signal et Automatique de Lille, Lille, France

Slides

2022

On learning mechanistic models from time series data with applications to cancer chronotherapies

Feb 18, 2022 2:00 PM Constant Burg Amphitheater, 12 Rue Lhomond, Paris

Slides

2021

Metamodeling for metabolic models, application to a PDE model of Salmonella infection

Aug 24, 2021 11:45 AM Centre International de Rencontres Mathématiques, Luminy

Slides

Model learning to identify systemic regulators of the peripheral circadian clock

Personalized medicine aims at providing patient-tailored therapeutics based on multi-type data towards improved treatment outcomes. …

Apr 16, 2021 1:00 PM Remote

Poster Slides