Profile Details

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Hire Hugo B.

France

USD 80 /hr

PhD student in Applied Mathematics for Machine Learning & Aerospace Engineer with industry experience

Profile Summary

I’m a PhD student in Applied Mathematics, specializing in Physics-Informed Machine Learning, which means integrating physical knowledge into AI models to make them more accurate, robust and interpretable. This scientific expertise allows me to build reliable solutions for complex real-world challenges. As a freelance, I help companies, research teams and organizations turn complex data into actionable insights. Thanks to my combined background in AI, Physics and Applied Mathematics, I can assist you with analyzing complex data arising from physical phenomena, building surrogate models to accelerate simulations, or combining data and physical models to improve predictions. My interests are centered around (Physics-Informed) Machine Learning, Fluid Dynamics and Earth Observation. I’m driven to apply my interdisciplinary skills to projects with real-world impact, especially those addressing environmental challenges, climate urgency or social inequalities.

Subject Matter Expertise

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

Services

• 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

Work Experience

Freelance in Machine Learning & Data Science for Physics

Self Employed

December 2025 - Present

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

Institut de Mathématiques de Toulouse

April 2022 - Present

Consulting Engineer in Cryogenic Fluid Systems for THEMIS

ALCADIA - CNES

November 2020 - October 2021

Internship in Fluid Dynamics and Machine Learning on Ariane 6

ArianeGroup

April 2020 - October 2020

Education

PhD Applied Mathematics

Institut National des Sciences Appliquées de Toulouse - France

April 2022 - Present

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

CentraleSupélec

September 2019 - December 2020

M.Sc (Master of Science)

EPF Ecole d'Ingénieurs - France

September 2015 - December 2020

Exchange Semester

École Polytechnique de Montréal, Université de Montréal - Canada

September 2018 - December 2018

Certifications

• Astrophysics and Cosmology University Diploma (DU)

  Observatoire de Paris

  June 2019 - Present

Publications

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.