Parsa Jafarian

B.Eng. Software Engineering (Co-op) and Minor in Mathematics, McGill University.

I work on machine learning for time series and applied mathematics, mostly forecasting under heavy noise and the statistical modeling that makes it tractable.

I am currently a research intern at the McGill Networks Research Lab with Prof. Mark Coates, studying how sequence models behave when the signal-to-noise ratio is low, using cross-sectional equity returns as the testbed. Before that I built a simulation framework for human–robot interaction at the NeuRoC Lab with Prof. Guillaume Durandau, which led to a first-author extended abstract accepted at ICNR 2026.

Read more about my research →

Parsa Jafarian standing in front of his research poster at a conference session.
JSPS Poster & Networking Session, Concordia University, 2026.

Education

McGill University B.Eng. Software Engineering (Co-op), Minor in Mathematics · GPA 3.94/4.00
Aug 2024 – Apr 2028
Selected coursework Honours Stochastic Processes · Mathematical Finance · Applied Machine Learning · Theory of Machine Learning · Analysis 1

Awards & Funding

NSERC Discovery Grant Research funding
NSERC
Dan Adamson CDSI Support Fund Research funding
McGill CDSI
Faculty of Engineering Scholarship
McGill
Dean’s Honour List
McGill
Three-time hackathon winner First place at CodeML, JACHacks and MariHacks
2024 – 2025

Beyond Research

  • Piano Took classes for three years. I play Beethoven’s Pathétique, Mozart’s Fantasia in D minor, and Arno Babajanian’s Elegy among other pieces.
  • Chess Restarted playing chess in summer 2026. Currently around 1350 on Lichess.
  • Typing Roughly 110 WPM — Monkeytype profile.
  • Running & swimming I swim in the winter and run in the summer.