Background

Ph.D. in Computer Science (in progress)

Université de Montréal (DIRO)

Cumulative GPA: 4.30/4.30.

Thesis

Phase unwrapping has no ground truth: solving it through probabilistic modelling and unsupervised learning

Supervisor

Max Mignotte, Image Processing Lab

Courses

• IFT 6269Probabilistic Graphical Models and Learning (link) · Simon Lacoste-JulienA+
• INF8601Parallel Computing Systems (Polytechnique Montréal)A*
• IFT 6001Algorithms (predoc)
• IFT 6002Data Structures (predoc)

Life Sciences Entrepreneurship Development Program (LSEDP)

Concordia University, John Molson Executive Centre

Completed over 150 hours of training in innovation, strategy and entrepreneurship in the life sciences.

M.Sc. in Computer Science

Université de Montréal (DIRO)

GPA: 4.15/4.30.

Thesis

Evaluating perceptual maps of asymmetries for gait symmetry quantification and pathology detection (link)

Supervisors

Max Mignotte (main supervisor), Jean Meunier, Jacques A. de Guise

Class project

Augmented stereo vision

Courses

• IFT 6145Three-Dimensional Vision · Sébastien RoyA+
• IFT 6390Fundamentals of Machine Learning · Pascal VincentA+
• IFT 6085Topics in Artificial Intelligence · Roland MemisevicA
• IFT 6141Pattern Recognition · Jean MeunierA

Master 2, Human–Computer Interaction

Université Paris-Sud (now Université Paris-Saclay)

Program

Research Master's in Computer Science, Interaction track

Context

Taken during the final year at Supélec, as part of the dual degree

Internship

Six-month research internship at CEA-Saclay ↓

Courses

Photorealistic Rendering; Interactive Information Visualization; Mixed Reality and Tangible Interaction; High-Performance Computing

B.Eng. and Diplôme d'ingénieur in Electrical Engineering and Computer Science

Polytechnique Montréal and Supélec (now CentraleSupélec)

GPA at Polytechnique: 3.82/4.00, with honors.

French–Canadian dual degree: computer science, electronics, engineering sciences and project management.

Vice President, Artificial Intelligence

Powertree, Montréal

• Led the computer vision and language processing team, reporting directly to the C-suite.
• Owned the pipelines that recognize and read labels on electrical equipment.
• Deployed AI models to the cloud for maintenance software for building electrical systems.

Independent contracts

Universities and companies

Delivered research contracts, application development, strategic planning in artificial intelligence and computer vision, and data acquisition and analysis.

Computer vision research and development

Mirametrix, Montréal

• Developed a high-performance library for epipolar geometry and geometric transformations in computer vision.
• Developed real-time gaze tracking and face detection algorithms in C++ and Python.
• Ported vision algorithms and neural networks to embedded systems such as the Raspberry Pi (what is now called TinyML) for automotive applications.
• Designed and built the high-frequency, high-volume data acquisition system for motion capture, adapting the company's commercial system to the team's own requirements.
• Helped design the acquisition campaigns: test protocols, hardware and planning.

Research internship (six months)

CEA-Saclay, computer vision laboratory, France

• Estimated scene lighting from reflections on shiny objects, to insert virtual objects realistically.
• Conducted the literature review, built the prototypes and produced the first reconstructions on simulated data.

View project →

Internship

Infosys, Convergence Lab, Bangalore, India

Tested and compared content-centric networking technologies within the networks team.

Internship

MDA Corp. Space Missions, Montréal

Developed software tools in VBA, Batch and Fortran, analyzed data and wrote tutorials within the antennas team.

Lecturer

Université de Montréal

Taught IFT 2425 — Introduction to Numerical Algorithms (error analysis, linear systems, iterative methods), with public course notes (in French) and interactive visualizations.

View the course →

Computer science teacher

Collège Ahuntsic, Montréal

• Teach procedural and object-oriented programming, web and mobile development, databases and software engineering.
• Coordinate student internships in industry and take on continuing education responsibilities.
• Created, with a colleague, the Fintech and Artificial Intelligence program (AEC), launching in winter 2027; led the revision of the mobile application (2024) and transactional website (2023) development programs.

View the Fintech and AI program →

Lecturer

Polytechnique Montréal

Taught introductory Python programming to first-year students.

Mentoring student ventures

Collège Ahuntsic

Mentored student ventures, including Recyc-Montréal, winner of second prize in the Fonds Afro-Entrepreneurs category of ESG UQAM's Mon entreprise 2025 competition.

View the ESG UQAM news (in French) →

Created Mentors Day

Collège Ahuntsic

Brought together five Quebec tech industry leaders around six finalist student ventures for evaluation and feedback sessions.

View the College's post →

Co-founder and lead

Back to Health (Crescendos)

• Co-founded and led an entrepreneurial project to make services easier to access for people with chronic low back pain: team of three, user interviews, first viable product.
• Selected as a finalist at Forces AVENIR (Université de Montréal, 2022) and the McGill Dobson Cup (2023).

Entrepreneurship round table

TransMedTech Institute

Organized and hosted a virtual event bringing together six startup founders.