プロフィール詳細

プロジェクトを作成

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Dr. Hugo B.に依頼

France

Freelance in Scientific Machine Learning (SciML) & Data Science

プロフィール概要

🔎 I help companies and research teams turn complex scientific models into fast, actionable tools. 👨🏼‍💻 As a freelance, I focus on two key bottlenecks: • Speeding up long numerical simulations from hours to seconds using surrogate models • Calibrating complex physical models with thousands of parameters automatically from data I combine Machine Learning and Physics to deliver solutions that are both fast, reliable and usable in practice. 🎓 During my PhD, I developed a Physics-Informed Machine Learning algorithm capable of calibrating a fluid dynamics model with 1000+ parameters in 30 seconds, instead of 5 hours with standard CFD methods, enabling real-time use and large-scale analysis.

専門分野

• ★ Machine Learning
• ★ Fluid Dynamics
• ★ Applied Mathematics
• ☆ Aerospace Engineering
• ☆ Computational Fluid Dynamics
• ☆ Computer Simulation/Computational Modeling
• ☆ Neural Networks
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Mathematical Models

サービス

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing

Research Scientific and Technical Research

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization

Product Development Concept Development

職務経験

Freelance in Scientific Machine Learning (SciML) & Data Science

Self Employed

12月 2025 - 現在

PhD in Applied Mathematics on Physics-Informed Machine Learning for flood simulation

Institut de Mathématiques de Toulouse

4月 2022 - 5月 2026

Consulting Engineer in Cryogenic Fluid Systems for THEMIS

ALCADIA - CNES

11月 2020 - 10月 2021

Internship in Fluid Dynamics and Machine Learning on Ariane 6

ArianeGroup

4月 2020 - 10月 2020

学歴

PhD in Applied Mathematics

Institut National des Sciences Appliquées de Toulouse - France

4月 2022 - 5月 2026

Specialization Degree (M.Sc level) - Aeronautics and Aerospace Engineering

CentraleSupélec

9月 2019 - 12月 2020

M.Sc (Master of Science)

EPF Ecole d'Ingénieurs - France

9月 2015 - 12月 2020

Exchange Semester

École Polytechnique de Montréal, Université de Montréal - Canada

9月 2018 - 12月 2018

認定資格

• Astrophysics and Cosmology University Diploma (DU)

  Observatoire de Paris

  6月 2019 - 現在

出版物

JOURNAL ARTICLE

Hugo Boulenc, Robin Bouclier, Pierre-André Garambois, Jérôme Monnier (2025). Spatially-distributed parameter identification by physics-informed neural networks illustrated on the 2D shallow-water equations . Inverse Problems.