Alex Lewandowski is a Ph.D. candidate and research assistant in Computing Science at the University of Alberta with a decade of experience bridging statistical machine learning research and applied industry work. He has held research and teaching roles across computing science and mathematical/statistical departments since 2016, mentoring students while advancing his doctoral research. Alex complemented his academic focus with hands-on research engineering at Huawei Canada, where he progressed from full-time to part-time research roles. His background combines rigorous statistical ML training (MSc) with a quantitative foundation in mathematical economics (BMath), enabling him to tackle both theoretical and practical problems. Known for balancing teaching, research, and industry collaboration, he brings a pragmatic approach to turning complex models into reproducible experiments. Based in Edmonton, he blends deep academic expertise with experience shipping research in commercial R&D settings.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy, Computing Science, Doctor of Philosophy, Computing Science at University of Alberta
Bachelor of Mathematics, Mathematical Economics, Bachelor of Mathematics, Mathematical Economics at University of Waterloo
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