August 2021 - | SocïVolta | Quantitative Research
My role at SocïVolta involves multiple tasks and research subjects, including:
- Trading strategy design, including prediction of power arbitrage using time-series analysis and machine learning techniques (related blog post);
- Portfolio optimization and backtesting, including design and implementation of high-performance strategy evaluation infrastructure (related blog post);
- High-performance, real-time, global optimization of resource allocations (related blog post).
December 2020 - April 2021 | Department of Chemistry, University of Toronto | Data Engineer
Design and implementation of an automated data processing pipeline to reconstruct femtosecond‐scale molecular dynamics from ultrafast electron diffraction measurements.
July 2015 - July 2017 | NASA Jet Propulsion Laboratory | Software Architect
Design and implementation of real-time holographic reconstruction pipeline for the Submersible Holographic Astrobiology Microscope with Ultraresolution (SHAMU) project, in collaboration with the California Institute of Technology and the University of Washington.
2016 - 2021 | McGill University | Ph.D. Physics
My dissertation is titled From carrier cooling to polaron formation: ultrafast phonon dynamics across the Brillouin zone. All source material, including text files, figure scripts, and more, are available on GitHub.
My doctoral advisor was Bradley J. Siwick. See the research group website for more details.
2014 - 2016 | McGill University | M.Sc. Physics
My thesis is titled New Data Analysis and Visualization Methods for Ultrafast Electron Diffraction.
My advisors were Bradley J. Siwick and Jay L. Nadeau. See the research group website for more details.
2011 - 2014 | McGill University | B.Sc. Joint Honours in Mathematics and Physics.
My undergraduate thesis was titled High-Speed Information Processing for Laserlocking System Applied to Optomechanical Cavities. It had an associated poster.
August 2022 - Jan 2024 | Haskell Foundation | Technical Working Group member
The Haskell Foundation Technical Working Group discusses community proposals based on their potential positive impact on the whole Haskell community.
While I was interested in all technical aspects brought forth by the Haskell community, I was keeping an eye on proposals related to my personal expertise: high-performance scientific computing, data science, and machine learning.
May 2023 - Nov 2023 | Haskell Summer of Code | Mentor
Haskell Summer of Code is a program to encourage students to contribute to the Haskell community by proposing ideas and implementing them over a summer.
I mentored a student focused on decoupling the standard Haskell documentation tool, Haddock, from the internals of the Glasgow Haskell Compiler.