Summary
Mathematician Specializing in Cognitive Science and Artificial Intelligence
I am a normalien at the École Normale Supérieure (ENS) in Paris, currently pursuing a master’s in Maths-Vision-Learning (MVA) at Université Paris-Saclay, an esteemed program focused on applied mathematics and AI. My research centers on modeling executive functions, specifically how humans make adaptive decisions. I utilize advanced mathematical methods and machine learning techniques to develop robust, generalizable models.
Technical Expertise: I am particularly interested in reverse engineering and applying mathematical theories to real-world problems. I seek collaborations that allow me to deepen my research and explore new ideas.
Artistic Engagement: In addition to my academic pursuits, I have been a violinist and amateur pianist for over sixteen years, and I sing baritone. I have also recently taken up the trumpet in the ENS brass band. My passion for dance includes tango, waltz, east coast swing, and rock, which I have taught—highlighting my interest in the dynamics of human interaction through movement.
Equestrian Background: A confirmed horse rider with a Galop 5 level, I appreciate how equestrian discipline and dance share principles of balance, coordination, and communication, which are essential in my research projects.
:writing_hand:️ Creative Initiatives: As the founder of the ENS writing club, I value the importance of clear and impactful communication of complex ideas.
Open to Collaboration and Consulting Opportunities: I invite you to connect with me to discuss innovative projects in the fields of cognitive science and artificial intelligence.
Professional experiences
Graduate research fellow - mathematics applied to cognitive psychology and neurosciences
INSERM
Since 2. september 2021
Working with Pr. Etienne Koechlin, in the laboratory for cognitive and computational neurosciences (INSERM, ENS) on a Statistical Physics modelling of exploration-exploitation paradigm in human adaptive behavior.
Understand how we make decisions and how they change over actions and information by explicit and AI modeling and find a general brain hardware processing pattern.
Teaching associate in mathematics
Université PSL
Since 2. september 2024
Visiting scholar - behavioral quantitative finance
Columbia University
From March 2023 to August 2023
Theoretical research to set up a financial market that fasten private information integration into price and avoid financial bubbles. Collaborating with Pr. Gur Huberman.
Deputy projects manager for disruptive innovations and data scientist
Direction Générale des Entreprises
From September 2022 to January 2023
In the French Ministry of Economy and Finance, General Directorate of Enterprises, sub-directorate of innovation, I make quantitative criteria, using companies and economics cartography, data science modeling and artificial intelligence, to decide how best to invest the 54 billion euros of the France 2030 plan.
Concretly, I created tools to use enterprises data bases, realised a study on green startups, wrote a paper on coporate venture capital, quantitatively established criteria to discover high potential startups. I was also a founding member of the DGE conviviality comitee.
I participated to the recruitment of the permanent project manager for technological prospective who is my successor.
Oral examiner in mathematics
Lycée Michelet, Vanves
From January 2022 to June 2022
Mathematics interrogator for second year undergraduate student in a scientific preparatory classes.
Teaching associate in statistics
Université Paris Cité
From September 2021 to August 2023
Courses of statistics for undergraduate students in Psychology.
Research intern - mathematics
Université Paris-Saclay
From March 2021 to June 2021
I worked with Pr. Bertrand Maury and Leo Wang on Optimal Transport, a mathematical problem not yet totally solved aiming to explain how best move things from one point to another and urban planning.
Research intern - maths applied to evolutionary psychology
CNRS
From February 2021 to June 2021
Within the Evolution and Social Cognition team and the Jean Nicod Institute (CNRS, ENS, EHESS), I worked, under the direction of Pr. Jean-Baptiste André and Julien Lie, to explain through evolutionary theory how we decide to trust, or not, someone else.
To do this, I use the theory of the honest signal. It seeks to explain and model how our past actions influence the perception that others have of us.
It is a subject at the interface between evolutionary biology, anthropology, sociology, economics (from which the first models came), theoretical computer science, cognitive science and of course, mathematics, since my work is concretely to make models based on game theory, functional analysis and probabilities …
Mathematics, physics and industrial sciences private instructor
Lycée Henri IV
From September 2020 to February 2022
Private tutoring for students in the first and second year of classes préparatoires aux Grandes écoles (elite undergraduate students).
Additionals trainings
Master 2 MVA
ENS Paris-Saclay - Machine Learning, mathématiques appliquées
2024 à 2025
Diplôme de l'ENS
Ecole Normale supérieure - PSL - Mathématiques, informatique, sciences cogntives
2020 à 2025
DENS Ulm
Degree
Languages
Français - Langue maternelle
Anglais - Courant
Russe - Technique
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