CV

A PDF version of my CV can be found here.

Education

Phd Student in machine learning for drug discovery, Ecole Normale Supérieur Paris PSL, 2024 (expected).
Entrepreneurship program, Deeptech Institute PSL, 2022
- Courses: Deeptech entrepreneurship, Intellectual property and valorisation and Strategic management of technology and innovation
Master 2 MVA (Mathematics, Vision and Learning), Ecole Normale Supérieur Paris-Saclay, 2020.
Bachelor and Master 1 in Applied Mathematics, University Paris Dauphine PSL, 2019.

2021-Present: AI Research Scientist at Synsight, Paris, France:
- Cifre Phd with ENS Paris, working on a strategy to find early stage drug candidate faster using image based drug discovery combined with structure based drug discovery.
December-April 2021-2022: Talent Manager at Initiator VC, London, UK:
- Part of the recruiting team.
- Advisor of two startups during the program.
September-May 2021-2022: Assistant VC analyst at G Ventures, Paris, France:
- Part of the France’s 1st Student VC Fund managed by students.
- Sourcing and analysis of various start-up.
December-February 2020-2021: Data Scientist at French National Research Institute for Sustainable Development, Paris, France:
- PoC for malaria detection in microscopic images in a joint project with AP-HP Paris and ENS Paris.
2019-2021: Co-Founder, COO at DefensIA, Paris, France:
- Management of the commercial team and Business development.
- Product manager.
June-November 2020: Research Intern at European Bioinformatic Institute, Cambridge, UK:
- Deep learning for biological image segmentation.
- Statistical shape analysis for morphological characterization of early mouse embryos.
Summer 2017: Data Scientist Intern at Shortouch, Paris, France:
- Analyzed Data to identify communities on social networks.
- Programmed scoring algorithms based on how you interact with your contacts online.