Description

Having worked in computer vison and neurotech, I have both industrial (R&D / production) and lab research experience. More recently, I am helping deeptech entrepreneurs on the side of fundraising and venture strategy.

My skills range from delivering machine learning pipelines to implementing from scratch theoretic models found in novel research publications.

My knowledge includes a variety of languages, tools and frameworks related to general programing but also more specifically about data science, deep learning, embedded systems.

Langues

Anglais
Bilingue ou natif
Espagnol
Capacité professionnelle complète
Français
Bilingue ou natif

Préférences en matière de lieu de travail

Accepte de travailler sur site

Paris (jusqu’à 50 km), Paris (jusqu’à 50 km), Lyon (jusqu’à 50 km), Marseille (jusqu’à 50 km)

HCVC
Deeptech investor
CAPITAL-INVESTISSEMENT
avril 2022 - décembre 2023 (1 an et 8 mois)
Paris, France
Invested in hardtech companies: nuclear, semiconductor, biotech
TM Labs
Deeptech operations & strategy
HIGH TECH
février 2020 - Aujourd'hui (6 ans et 4 mois)
Paris, France
Dealflow for frontier tech investments
Partners and projects include:
Neurotech for stress relief - brainpatch.ai
Medical imaging - im-vitro.com
XAI for crypto - arquant.io
Autonomous homes - astreia.com
industrial computer vision
Cortical Labs
Computer science engineer
CENTRES DE RECHERCHE
octobre 2018 - novembre 2019 (1 an et 1 mois)
Melbourne, Australie
Conducted multidisciplinary research on neural interfacing and biocomputing
Simulation of environments for embodied cognition based on cultures of cortical neurons
Implemented a framework for neurocomputation constructing feedback loops on biological neural networks
(Rust application communicating with MEA systems)
Built an efficient unsupervised artificial CNN for hebbian learning (custom operators using Pytorch)