CV
Employment
2022 - Now, Sherbrooke Supervision of 8 researchers working on the development and optimization of diffusion models adapted to memristor and FPGA processors, grant writing, hiring management, employee training, performance reviews, organization of meetings
2021 - 2022, Sherbrooke Research on the application of stochastic differential equations in deep learning, grant writing, software development, Scrum project management
Education
2014 - 2018, Sherbrooke | Under Pr André-Marie Tremblay and Pr David Sénéchal, with courses: topological insulators (PHY-889), many-body physics (PHY-892) and supplementary courses: data structures (IFT-339) and algorithms and data structures (IFT-436) | Thesis | Thesis defense | C++ code published: physique.usherbrooke.ca/codes_sources/, look for "oneBuddy.tar.gz".
2011 - 2014, Sherbrooke | Under Pr André-Marie Tremblay and Pr David Sénéchal, with courses: advanced condensed matter physics (PHY-730), broken symmetry and coherent states of matter (PHY-740), experimental methods in solid state physics (PHY-760) and supplementary course in quantum information and computation (PHQ-737) | Thesis.
2008 - 2011, Quebec | Internships at Université Laval under Pr Claudine Allen and University of Calgary under Pr Alexander Lvovsky (see below).
Relevant experiences
2019 - 2020, Montreal | Scolarship from Institut for the valorisation of data (IVADO) and Institut Quantique (IQ) under Pr Yoshua Bengio and Pr André-Marie Tremblay to develop deep learing methods for the research on electronic properties of quantum materials. Followed courses on representation learning (Université de Montréal IFT6135) and reinforcement learning (McGill University COMP-767) | Projects:
- Temperature-agnostic analytical continuation of transport functions
- Graph neural networks for predicting materials properties
- Spectral learning of weighted automata to initialize RNN
- Autodifferentiation to fit spectral weight
- Normalizing flows to accelerate Monte-Carlo
2019, Montreal & Sherbrooke | Organizer, teacher or tutor for various events teaching convolutional neural networks and recurrent neural networks:
- 3IT deep learning tutorial (Organizer & teacher, 3 days, Université de Sherbrooke)
- Physics deep learning tutorials (Organizer & teacher, 4 days, Université de Sherbrooke)
- McGill's Physics & AI Workshop (tutor, 2 days, McGill's University)
- 2019 AI4Good Lab (tutor, 1 week, Mila)
- 4th IVADO summer school 2019 (tutor, 1 week, Mila)
2018, Sherbrooke | Mathematical modeling of transport phenomena in high-temperature superconductors under Pr André-Marie Tremblay and Pr Louis Taillefer. Followed courses in tensor network methods (PHY-839) and general relativity (PHQ-615) | Relevant codes on github:
March 5th to 9th, 2018, HEC - Montréal | One week training on deep learning: convolutional neural networks (CNN), recurrent neural network (RNN) and generative models, with tutorials using the PyTorch library. See their website (French).
2017, San Francisco - 2018, Montreal | Redaction of the official reports for two meetings of CIFAR's quantum materials program, one in San Francisco, November 2017, the other in Montreal, May 2018.
March to August 2017, Université de Sherbrooke | Selected by the University Dean to investigate an intellectual property dispute: reading of complaints, questioning and hearing of testimony, and drafting of a report under the supervision of one of Canada's leading intellectual property Lawyer.
2016, Université de Sherbrooke, Physics Department | Selected by the program director to represent graduate students during the physics curriculum revision.
2015, Université de Sherbrooke | Blackboard presentation of exercises and correcting homeworks for Advanced Electromagnetism PHQ-421
Summer 2009 and 2011, Québec, with NSERC Undergraduate Student Research Award | Design, crafting and calibration of an optical integration sphere (radiometry), laser and workplace hazardous materials information system security training.
Summer 2010, Calgary, with NSERC Undergraduate Student Research Award | CAD design, AVR integrated circuits programming (assembly and C), photolithographic development, soldering and optical alignment.
Languages and softwares
- French, English spoken & written
- Python, C, C++, Mathematica (Programming)
- LaTeX, Asymptote, Gnuplot (Scientific redaction)
- Illustrator, Photoshop, InDesign (Graphic design)
- HTML, CSS, Javascript (for this website)
Volunteering & Activities
- Lab representative, 2019-2020 (Mila)
- Physics discussion group organizer, 2019-2020 (Mila)
- Lunch seminars organizer, 2016-2017 (Physics Department, Université de Sherbrooke)
- President, RQMP summer school 2015
- VP Logistics, RQMP summer school 2014
- VP Finances, Physics Games 2014 (Sherbrooke)
- Candidate in the 2011 federal elections, Charlesbourg, Haute Saint-Charles, Québec
- President, Coupe de Science 2011 (Science and Engineering competition)
- VP Human ressources, Coupe de Science 2010 (Science and Engineering competition)
- Graduation committee and student representative, 2009-2011 (Physics, Université Laval)
Notable Distinctions
- IVADO postdoctoral scolarship (2019)
- Best thesis, Science faculty, Université de Sherbrooke (2018)
- FRQNT PhD scholarship (2013-2015)
- FRQNT MSc scholarship (2011-2012)
- Student excellence (peer voted, Science and Engineering, Université Laval, 2010 and 2011)
- Undergraduate Research Student Award (NSERC, 2009 and 2010)
- Excellence award (Université Laval, 2009)
- Excellence award (Polyvalente de Charlesbourg, 2006)