Alamgir Hossain is an Associate Professor and computational mathematician with a PhD in Applied and Computational Mathematics and over a decade of experience building machine learning, numerical, and computer vision solutions for academia and industry. He has blended research-grade modeling—spanning ice sheet dynamics, atmospheric flows, and data assimilation—with production-ready code in C++, Python and MATLAB, producing peer-reviewed publications and international conference presentations. Alamgir has taken algorithms from prototype to deployment, rewriting Python proofs-of-concept into performant C++ and shipping end-to-end ML pipelines and Dockerized visualization dashboards. He is skilled at processing and visualizing large time-series and spatial datasets, and has applied ensemble Kalman filters and level-set methods to tackle topological change in glacier modeling. A seasoned educator, he has designed and taught undergraduate math and computing courses while coordinating computational workshops. Based in Burnaby, Canada, he maintains an active GitHub and HackerRank presence, reflecting a practical emphasis on reproducible, tested research software.
10 years of coding experience
8 years of employment as a software developer
MSc, Mathematics, 4.00/4.00, MSc, Mathematics, 4.00/4.00 at Memorial University of Newfoundland
Non-degree, 4.00, Non-degree, 4.00 at The University of British Columbia
Bachelor of Science (B.Sc.), Mathematics, First Class, Bachelor of Science (B.Sc.), Mathematics, First Class at University of Dhaka
Doctor of Philosophy (Ph.D.), Applied and Computational Mathematics, Doctor of Philosophy (Ph.D.), Applied and Computational Mathematics at Simon Fraser University
Contributions:24 commits, 2 PRs, 21 pushes in 3 years 6 months
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