Milad Toutounchian is an Associate Teaching Professor and data scientist with eight years of experience bridging academic research and industrial R&D in machine learning, optimization, and signal processing. He has taught and developed Master of Data Science curricula, supervised capstone projects, and previously built courses and published practical deep learning tutorials for Make School. Milad holds a PhD in Telecommunications (distinguished GPA) with research on multiuser MIMO and multi-objective optimization, and brings hands-on experience deploying optimization solvers (CPLEX, CVX) and production tools across Python, Docker, AWS, and embedded DSP toolchains. His background spans applied NLP, recommender systems, hazard prediction using multimodal features, and energy/load analytics, reflecting a rare mix of physical-layer research and applied data science. Based in Haddonfield, NJ, he’s team-oriented, productivity-driven, and known for turning theoretical methods into practical teaching and industrial solutions.
8 years of coding experience
7 years of employment as a software developer
BSc, Telecommunication, BSc, Telecommunication at Sharif University of Technology
University of California, Los Angeles
PhD, Telecommunication, PhD, Telecommunication at Simon Fraser University
Contributions:11 commits, 1 PR, 11 pushes in 1 day
databasesdata-analysisdatabasevisualization
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