Summary
Milad Asgari is a Staff Research Engineer in California with 11 years of experience at the intersection of machine learning and healthcare, currently driving advanced mobile health initiatives at Samsung Research America. He holds an MS and is a PhD candidate at UC Irvine, where his research produced GAN-based biosignal synthesis and personalized maternal health models that materially improved accuracy and outcomes. Skilled in signal processing, NLP, and privacy-preserving ML, Milad has translated academic innovations into production-ready solutions across industry roles at Capital One and PARC. He blends rigorous research with practical deployment experience—building real-time dashboards, GNN frameworks for sensitive-data detection, and IoT security analyses—making him adept at bridging clinical collaboration and engineering delivery.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Science (BSc), Computer Engineering, Bachelor of Science (BSc), Computer Engineering at Sharif University of Technology
University of California, Irvine
English, Persian