cv

This is a pdf of my curriculum vitae.

Contact Information

Name Marin Bricq
Professional Title Ph.D. Candidate
Email marinraymond.bricq@polimi.it

Professional Summary

Ph.D. Candidate in Mechanical Engineering specializing in collaborative robotics, bio-engineering, and active inference. Experienced in bridging embedded systems (C, Rust) with high-level robotics simulations, with a strong focus on human-AI shared control paradigms, computer vision pipelines, and soft exosuit design.

Experience

  • Embedded Software Engineer Intern
    Logitech
    6-month internship on embedded software in C running on wireless devices. Ensured multiple devices kept a tight time synchronization to communicate information.
  • Ph.D. Co-Supervisor and Tutor
    Politecnico di Milano
    M.Sc. Thesis Co-Supervision: Co-supervised multiple master's thesis projects (including students Francesco, Solayman, and Alessandro), mentoring them throughout the research process.
    • Healthcare Robotics (Prof. Gandolla): Provided theoretical lessons and hands-on laboratories to students of Humanitas University (2026).
  • Tutor
    Ecole Polytechnique Fédérale de Lausanne (EPFL)
    Tutor at the Dept. of Micro-Engineering.
    • Electronique I & II (Prof. Koukab): Provided hands-on lab assistance and guided students through practical exercises (2024).
    • Image Processing II (Prof. Unser): Supervised weekly exercise sessions, clarifying theoretical concepts and assignment requirements (2024).
    • Systèmes logiques (Prof. Schmid): Mentored students and provided technical supervision throughout their semester-long project development (2023).
    • ICC (Prof. Boulic): Supervised and guided students during exercise sessions (2023).
    • Systèmes électriques et électroniques I & II (Prof. Guiducci): Provided hands-on lab instruction and technical support (2022).
  • Treasurer & Co-founder
    Founded the association to facilitate student biosensing projects.
    • Previously part of the SensUs EPFL 2023 team (under Prof. Altug): developed a Python app for sensor communication and signal processing for a TBI biosensor.
  • Section Head (Ingénieur e s Engagé e s)
    Led the section promoting ecological prospects and sustainability visibility for engineers at EPFL.

Education

  • Ph.D.
    Politecnico di Milano Department of Mechanical Engineering
    Mechanical Engineering
    • Thesis title: An Intelligent Second Skin: Hierarchical Active Inference for Collaborative Robotic Assistance
    • Supervisors: Prof. Francesco Braghin and Prof. Marta Gandolla.
  • M.Sc.
    Ecole Polytechnique Fédérale de Lausanne (EPFL)
    Robotics
    • Thesis title: Design and Control of an Elbow Joint for a Soft Exosuit for Assistance and Rehabilitation.
  • B.Sc.
    Ecole Polytechnique Fédérale de Lausanne (EPFL)
    Micro-Engineering

Publications

  • Accepted Research Paper
    BioRob Conference
    Authored and finalized accepted research paper and video materials for the BioRob 2026 conference.
  • Poster Presentation
    Summer School on Neurorehabilitation
    Designed and presented a pitch presentation and poster for the event.

Skills

Coding (Advanced): C, C++, Rust, Python, MATLAB, VHDL, JavaScript, Bash / Shell Scripting, LaTeX
Software & Tools (Advanced): SOFA, Gmsh, Pyglet, FreeCAD, KiCAD, Fusion 360, VS Code (Ruff), tmux, Linux Mint, macOS

Languages

French : Native/Strong reading, writing and speaking
English : Fluent
Italian : Basic competencies

Interests

Medical Robotics: Upper limb exoskeletons and assistive devices
Soft Robotics: Design and simulation of cable-driven actuators
AI & Control: Active Inference, Generative AI applied to robotic control, Intention detection

Projects

  • Active Inference for Human-Robot Collaboration

    Developing an Active Inference agent designed to collaborate with humans on cooperative load lifting tasks, focusing on intention detection and shared control.

  • Soft Exosuit for Rehabilitation & Assistance

    Continuing development of a silicone-based elbow actuator. Developed the mechanical testbench and human trials to validate the device.

  • Soft Actuator Proprioception System

    Engineering a system based on commercially available sensors to reconstruct the 3D pose of soft actuators in real-time.