Maxime Gill-Comeau

I participated in multiple aspects of the creation of a mobile, CV-based exercise therapy application. Some of my achievements include:

• Adapting our pose estimation technology for mobile inference, and the exercise therapy context. This included moving from a bottom-up to a top-down framework, creating a new, lightweight person detector, and a new tracking algorithm. This resulted in the new system producing similar accuracy while using 18 times fewer FLOPs. (1 patent awarded.)
• Pioneering and refining our activity recognition system, which now achieves over 94% accuracy on more than 200 diverse exercises, while using negligible computing resources. (2 patents awarded, 2 more pending.)
• Conceiving, developing, and supporting the use of our web-based exercise creation, optimization, and evaluation platform.
• Participating in the development of an LLM-based system for live exercise form feedback and user interaction. (1 patent pending.)

Development of algorithms and deep learning models for various human-centric computer vision. Some specific tasks include:

• Creation and improvement of full-body and face/head pose estimation models.
• Development of visualizations and visualization tools for human-centric data (pose and segmentation annotation, smart smoothing).
• Conception, creation, and curation of pose estimation datasets, including video wrangling and preprocessing, and synthetic data generation.
• Development of a video annotation tool.

• Lead the development of simulation tools for the analysis of time series and collective modes associated with dynamical systems with large length- and timescales
• Provided tech support on a wide range of matters regarding scientific programming, optimisation and parallel computing
• Supervised research interns

• Supervision of tutorial sessions and complementary lessons, grading of homework and lab reports and personalized tutoring
• Wide area of expertise (introduction to scientific computing, introduction to statistical physics, advanced statistical physics, waves and vibrations, condensed matter physics)
• Awarded a mention of excellence in teaching in 2016

• Université de Sherbrooke, 2005: Deposition and characterization of epitaxial thin films for the study of the colossal magnetoresistance phenomenon.
• Institut de recherche sur l'hydrogène (UQTR), 2006: Characterization of the chemico-physical properties of metal hydrides for applications in hydrogen storage, and design of a new experimental set-up to study hydrogen cycling in hydrides.
• Université de Montréal, 2007: Coding and testing of finite-element simulation tools for the study of stellar hydrodynamics.