Education

PhD Physics:

May 2017 - , Université de Sherbrooke.
Subject: Continuous time Quantum Monte Carlo solvers and machine learning algorithms.
Accelerated passing from masters to PhD (1 year of master studies).

BSc in Physics

2011 - 2015, Université de Sherbrooke

Publications

Current Publications

In preperation

  • Pseudogap, superfluid stiffness and unconventional superconductivity in organic superconductors. As first author.
  • Effect on superfluid stiffness of Mott transition and of competition betweenantiferromagnetism and superconductivity in cuprate. As second author.

Professional experiences

Quantitative and algorithmic Software Developer

  • Desjardins Capital Market, Fixed Income Desk
  • Front Office Risk management applications (C#, Python, PostgreSQL, PowerBI, Excel)
  • Trading analytics and reporting
  • Pricing, Risk, Offerings

Software developer

  • Software developer at Ariann. - I work with technologies such as C++, python (scientific-stack/AI), MySQL and Linux. We work mostly on Financial algorithms, publicity and Machine learning.

Scientific computing analyst, Université de Sherbrooke QC (September 2018 - )

  • Help and consulting in scientific high performance computing
    • Linux
    • C++ high performance (Linear algebra libraries, boost, openmpi, threading, etc.)
    • Python and julia scientific programming and optimizations (Cython, numba, numpy-stack, pypy, openmpi)
    • Maintain the following website: https://www.physique.usherbrooke.ca/codes_sources/.

Teaching assistant (2016 - )

  • Lead problem solving exercises in class for multiple courses (advanced and basic elector-magnetism, modern physics and mathematical tools for physicists).
  • Supervise and correct the assignments.

Awards and distinctions

FRQNT PhD scholarship
CRSNG MSc scholarship

Presentations

  • The mandatory first presentation of my Ph.D, demonstrating what I have achieved thus far, and what are the futur goals of my research: Seminaire de Doctorat.
  • A short introduction to Quantum Monte Carlo methods: Quantum Monte Carlo Presentation.
  • A more detailed presentation on variational Quantum Monte Carlo and Boltzmann machines: Variational Quantum Monte Carlo.
  • My presentation of my research at the 2018 march meeting of the American Physical Society: APS 2018.
  • A simple introduction to speeding-up python code with numba, cython and pypy (general audiencem, humoristic but serious presentation): Introduction to Performance Python.