About me



  • August 2021 - | SocïVolta | Research

    My role at SocïVolta involves multiple tasks and research subjects, including:

    • Prediction of power arbitrage using time-series analysis and machine learning techniques;
    • Portfolio optimization and backtesting;
    • Short-term probabilistic forecasting using Monte-Carlo methods;
    • 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.


  • August 2022 - | 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’m interested in all technical aspects brought forth by the Haskell community, I’m keeping an eye on proposals related to my personal expertise: high-performance scientific computing, data science, and machine learning.