Mohammad Firouzi
Quantitative Researcher, Founder
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolMohammad Firouzi is a quantitative researcher and founder with eight years of experience building proprietary trading strategies and applied ML products from Toronto. He founded and leads Alphabist, applying research rigor to prop trading while consulting on quant strategies for startups like Bezant Technologies and contributing research at Quantfury. His background blends an MS in Computer Science from University of Toronto with dual BS degrees in Computer Engineering and Mathematics from Sharif University, enabling strong foundations in algorithms, statistics, and systems. He has worked across healthcare and academic research settings (SickKids, Vector Institute, CorVista), bringing domain-aware data science into production. Known for curiosity (and a lighthearted interest in “Cookie Monsters”), he combines entrepreneurial drive with reproducible, research-first engineering.
8 years of coding experience
4 years of employment as a software developer
AllamehelliMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of TorontoBachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at Sharif University of Technology
Persian, English
Github Skills (17)
scipy10
gradient-descent10
fundamental10
python10
mpi10
interpolation10
blas10
ndarray10
numpy10
numerics10
lapack10
root-finding10
convolution10
finite-element-analysis10
numba10
Programming languages (2)
Github contributions (5)
Tnorm/KF-LAX
Apr 2018 - Oct 2018
Contributions:16 commits, 56 pushes, 1 branch in 5 months
Tnorm/SCN
Mar 2018 - Sep 2021
Contributions:17 pushes, 2 branches in 3 years 7 months
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