Homayun Afrabandpey is a research scientist and seasoned ML researcher with eight years of experience bridging academic rigor and industrial R&D in Espoo, Finland. He holds a PhD from Aalto University and has driven work on probabilistic modeling, interactive machine learning, and counterfactual interpretability both as a postdoc at the University of Helsinki and as a senior researcher at Nokia. His interests extend to neural network compression and federated learning, reflecting a pragmatic focus on making models both interpretable and deployable. Known for translating theoretical methods into applied solutions—earlier work includes network-traffic classification for security—he blends deep probabilistic expertise with hands-on systems thinking.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Aalto University
Master of Science (MSc), Computer Science, Master of Science (MSc), Computer Science at Isfahan University of Technology
Contributions:7 commits, 6 pushes, 1 branch in 1 year
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