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Experience
  • Since 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,...
  • 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 computationnal neuroscience.
    Title "Computationnal 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
  • 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.
    Computationnal 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 gelernen aber ales vergessen
  • Coding: Python, bash, pandas, scikitlearn, openCV, vim, tmux, airflow, prefect, git, pytorch, huggingface,...
  • Deployment: docker, docker-compose, gitlab (CI/CD), k8s (basic level)
  • Orchestration: Prefect 1 & 2, Airflow
  • Project Management: JIRA, Trello, Monday, Notion, ProductPlan