Jean Bellot, PhD - AI Expert & CTO

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HELLO EVERYBODY, I AM

Jean Bellot, PhD

CTO, lead Datascientists, AI researcher

I’m a Data Scientist and AI Advisor with a Master’s degree in Artificial Intelligence and a PhD in Computational Neuroscience. For 8 years, I’ve served as Lead Data Scientist and CTO in a start-up, leading teams to design and deploy intelligent systems that create real impact — from strategy and architecture to implementation and product delivery.

Today, as a freelance consultant, I help companies make the most of AI — by identifying where it can bring real value, designing intelligent tools adapted to their unique use cases, and helping them to build systems that are both technically robust and human-centered.

My philosophy is simple: AI should enhance human experience, focusing on tedious work allowing us to focus on creativity. I believe the true power of AI lies in augmenting human potential, simplifying complexity, and creating tools that empower people to focus on what truly matters. Every project I take on is guided by that principle — using AI not as an end in itself, but as a meaningful force for better decision-making, creativity, and human connection.

19th November, 1988
+33 (0)695632586
jeanbellot@gmail.com
Paris, France

Services

AI & Data Strategy – Identify where AI creates real impact, design actionable roadmaps, and define metrics for ethical, sustainable implementation.
Data Science & Machine Learning – From data exploration to deployment: predictive models, forecasting, and data-driven decision tools.
LLM & RAG Systems – Build custom Large Language Model and Retrieval-Augmented Generation solutions adapted to your domain and workflows.
AI Product Development – Technical leadership and hands-on support for designing, prototyping, and scaling intelligent products that enhance human experience.
Advisory & Mentorship – Strategic guidance to help teams and leaders understand, adopt, and grow with AI responsibly.

Work Profile

Experience

Jan 2024 - ... Free Lance as a Technology and AI advisor @ Lazy Smart (not an official brand yet)
Help client understand how AI and digital technology can help them in their business. Image generation, LLM, RAG, Visual Recognition, Forecasting...
Sept 2024 - ... CTO @ A Lab Curated By
Jan 2020 - Jan 2024 Chief Technology officer and Lead Datascientist @ Heuritech
Manage prioritization of all tech teams at Heuritech (R&D, Data Science, Infrastructure, Product, Data Engineering, Internal Tools) and Lead Datascience
Jan 2021 – Jan 2024, PhD Co-director of Etienne David's PhD
Time series forecasting models applied on large datasets with inclusion of external signals in collaboration Sylvain Le Corff, Telecom Paris
2018 – 2020, Technical Lead Product & Data science @ Heuritech
Manage product team, build and manage the data science team, people and roadmap
2016 - 2018, Datascientist @ Heuritech
Member of the R&D team
2011 – 2015, PhD Student @ Institut des Systèmes Intelligent et de Robotique,
Université Pierre et Marie Curie – Paris VI. Phd Thesis in computationnal neuroscience.
Title "Computationnal Modeling of the role of dopamine in the corticostriatal loops in action selection".
2012 – 2014, Teaching Assistant @ Politech Paris,
Université Pierre et Marie Curie - Paris VI, in Software Engineering

Education

2011 – 2015, PhD Student @ Institut des Systèmes Intelligent et de Robotique,
Université Pierre et Marie Curie – Paris VI. PhD Thesis in computational neuroscience.
Title "Computational Modeling of the role of dopamine in the corticostriatal loops in action selection".
2009 - 2011 Master Degree in computer science Universite Pierre et Marie Curie - Paris VI
Artificial Intelligence and Decision
Research Specialization: Intelligent Agent, Learning & Decision
2006 - 2009 Licence Mathematics & Computer Science Universite Pierre et Marie Curie – Paris VI
Specialty Statistics & Artificial Intelligence

Publication

2025 (Currently in review), Bellot, J., Sigaud, O., Roesch, M. R., Schoenbaum, G., Girard, B., & Khamassi, M.
Dopamine neurons phasic activity does not encode the reward prediction error that behavioral adaptation would predict
Neurons, Behavior, Data analysis, and Theory
2023, David, E., Bellot, J., & Corff, S. L.
Hermes: Hybrid error-corrector model with inclusion of external signals for nonstationary fashion time series.
Transactions on Machine Learning Research.
2023, David, E., Bellot, J., Corff, S. L., & Lehéricy, L.
Identifiability of discrete input–output hidden markov models with external signals.
Statistics and Computing.
2015, Bellot, J.
Computational modeling of the role of dopamine in the corticostriatal loops in action selection.
Doctoral dissertation, Université Pierre et Marie Curie, Paris VI
2014, Bellot, J., Liénard, J., Khamassi, M., & Girard, B.
Investigation of the effect of different dopaminergic levels on the basal ganglia action selection properties using a biologically constrained computational model.
SfN neuroscience meeting. Washington. poster 555.23/TT42
2013, Bellot, J., Liénard, J., Khamassi, M., & Girard, B.
Which temporal difference learning algorithm best reproduces dopamine activity in multi-choice task?
Third Symposium on Biology of Decision - Making (SBDM 2013). Paris. Poster 5.
2012a, Bellot, J., Sigaud, O., & Khamassi, M.
Dopamine neurons activity in a multi-choice task: Reward prediction error or value function?
Proceedings of the French Computational Neuroscience NeuroComp/KEOpS1́2 workshop.
2012b, Bellot, J., Sigaud, O., & Khamassi, M.
Which temporal difference learning algorithms best reproduce dopamine activity in a multi-choice task?
From Animals to Animats: Proceedings of the 12th International Conference on Adaptive Behaviour (SAB 2012). Obtained the best paper award of the conference
2012, Bellot, J., Sigaud, O., Roesch, M. R., Schoenbaum, G., Girard, B., & Khamassi, M.
Dopamine neurons activity in a multi-choice task: Reward prediction error or value function?
Proceedings of the French Computational Neuroscience NeuroComp/KEOpS1́2 workshop. Pages 1-7. Bordeaux, France.

Miscellaneous Experience

Teaching

2012 – 2014, Introduction à la programmation orienté objets en Java,
Politech Paris, ELI3, teaching assistant (2*10h) and E2I4 teaching assistant (32h).
2013 Introduction à la programmation en Python, GM3
GM3 teaching assistant 20h
2014 Introduction à la compilation, Tex/Lyx
Teaching assistant 20h

Projects

2011, Comparison between dopamine activity and reward prediction error in a multi-choicetask,
Institut des Systèmes Intelligents et de Robotique Internship M2 in Computational Neuroscience
2010 Supervised classification of textual documents with boosting
Laboratoire d’informatique de Paris VI - Lip6, Internship M1 in Artificial Intelligence

Skills

Languages
French, native
English, fluent with a lovely french accent
German, "Ich habe Deutsch gelernt,... aber alles vergessen"
Coding: Python, bash, pandas, scikitlearn, openCV, vim, tmux, airflow, prefect, git, pytorch, huggingface, spaCy...
Deployment: docker, docker-compose, gitlab (CI/CD), k8s (basic level)
Orchestration: Prefect 1 & 2, Airflow, n8n, Dask
Project Management: JIRA, Trello, Monday, Notion, ProductPlan