I defended my thesis !
I have succesfully defended my Ph.D :“Leveraging Temporal Structure to Advance Deep Learning-based Event Prognosis in Clinical Time Series”.
About Me
I’m Hugo, a ML Researcher in Machine Learning at ETH Zürich. I just defended my thesis under the supervision of Prof. Gunnar Rätsch as part of the Biomedical Informatics lab (BMI). My main area of research focus on advancing deep learning methods for event detection in multivariate time series. I work on healthcare application around patient monitoring in the Intensive care unit (ICU).
Interests
- Machine Learning for Healthcare
- Foundation Models
- Time Series
- Event Prediction
- Representation Learning
Education
PhD Machine Learning (Ongoing)
ETH Zürich
MD Applied Mathematics (MVA)
ENS Paris Saclay
Engineering Degree
Télécom Paris
Recent News
DSA for EEP in CHIL
Our work on Dynamic Survival Analysis for Early Event Prediction has been accepted at CHIL 2024 !
Featured Publications
Recent Publications
(2024).
Dynamic Survival Analysis for Early Event Prediction.
In CHIL 2024.
(2024).
A comprehensive ml-based respiratory monitoring system for physiological monitoring & resource planning in the icu.
medRxiv.
(2024).
Improving Neural Additive Models with Bayesian Principles.
ICML 2024.
(2023).
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding.
ICLR 2024.
(2023).
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series.
ML4H@NeurIPS 2023.
Recent & Upcoming Talks
