Academic research · Independent consulting

Portrait of Nicolas M. Dibot

Nicolas M. Dibot, Ph.D

Researcher in AI and computational neuroscience

I help healthcare teams, healthtech companies and R&D organizations frame, test and validate AI projects involving complex data.

Feasibility audits · Model validation · Interpretable prototypes · Training

Two complementary activities

From scientific knowledge to better decisions

Contract at École Normale Supérieure

Academic research

Understanding and modeling human behavior using cognitive, clinical, longitudinal and visual data.

  • Explanatory models
  • Reproducible analyses
  • Scientific publications
Explore my research

Approach

What I do

I analyze and model human behavior using complex, heterogeneous data: cognitive and clinical data, large-scale longitudinal cohorts and image databases.

This expertise supports both academic research (knowledge production, explanatory models and publications) and applied AI projects focused on decision support under real-world constraints, using imperfect and constrained data.

Ph.D Computational cognition
ENS · INSERM Biomedical research
Explainable AI Validation, limitations and handover

Initial conversation

An AI project to frame or unblock?

Tell me about the context, the available data and the decision you need to improve.