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Career

· Postdoctoral Scientist, Columbia University2025–
· Visiting Postdoctoral Researcher, University of Cambridge2025–
· Visiting Researcher, Mayo Clinic2023–2024
· Placement Student, The Alan Turing Institute2022–2023
· Teaching Assistant, Carnegie Mellon University2020–
· PhD Student, University of Cambridge2020–2024
· Teaching Assistant, University of Cambridge2020–
· Research Analyst, Carnegie Mellon University2017–2020
· Teacher and Mentor, Carnegie Mellon University2017–2018
· Visiting Researcher, Carnegie Mellon University2017–2017
· Engineer’s degree in Applied Mathematics and Computer Science, Ecole Nationale Supérieure d’Informatique et de Mathématiques Appliquées de Grenoble2017–
· M.S. in Machine Learning and Data Science, Ecole Nationale Supérieure d’Informatique et de Mathématiques Appliquées de Grenoble2017–

Publications (9)

Prediction of hypotension events with physiologic vital sign signatures in the intensive care unit
Critical Care · 2020
43
cited
Deep Parametric Time-to-Event Regression with Time-Varying Covariates
SPACA · 2021
29
cited
A Case for Federated Learning: Enabling and Leveraging Inter-Hospital Collaboration
2020
3
cited
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium
arXiv.org · 2024
3
cited
Sex differences in post cardiac arrest discharge locations
Resuscitation Plus · 2021
3
cited
Constrained clustering and multiple kernel learning without pairwise constraint relaxation
Advances in Data Analysis and Classification · 2022
2
cited
Category : Cardiovascular : Monitoring A 420-Cross-correlation features of vital signs enable robust detection of hemorrhage
Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025
arXiv.org · 2025
Robustness of Machine Learning Models for Hemorrhage Detection
2020
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Vincent Jeanselme | Researcher Profile | Sotabase | Sotabase