Academic research — Nicolas M. Dibot, Ph.D

Research areas

Generative and predictive AI.

Modeling highly non-linear data, machine learning, deep learning, interpretability.

Visual perception, facial attractiveness, social cognition.

2025–present

AI researcher for modeling and prediction of neurodegenerative diseases — École Normale Supérieure (ENS Ulm).

2022-2024

Coordinator of an AI group in ecology and evolutionary biology.

2021-2024

PhD in computational cognition — CNRS.

2019-2021

MSc in bioinformatics — University of Nantes — top of class (1st/14).

Google Scholar ResearchGate

N. M. Dibot, J. P. Renoult, W. Puech · ACM TOMM 21(8):229 · 2025

N. M. Dibot, S. Tieo, T. C. Mendelson, W. Puech, J. P. Renoult · PLOS Comput. Biol. 19(12):e1011703 · 2023

S. Tieo, M. Bardin, N. Dibot, et al. · 2024

Generative and predictive AI contribution · Nicolas M. Dibot (1, 2) · 2024

Presentation in Montreal, Canada.

Annual meeting in Montpellier, France.

Bioinformatics department (Univ Rennes) and Cochin Institute (Paris).

“Attractiveness of faces in mandrills and humans: generative and predictive AI”.

For a scientific collaboration, conference, training session or discussion about my research.