Hamid Mozaffari is an AI research scientist at Oracle Labs with eight years of experience studying the security, privacy, and fairness of machine learning systems, especially large language models. He holds a Ph.D. from UMass Amherst where he worked on federated learning, private information retrieval, and blocking-resilient communications under Amir Houmansadr. At Oracle he focuses on membership inference and poisoning attacks, differential private training of LLMs, and federated learning defenses, blending theoretical rigor with practical threat modeling. His background in applied security and penetration testing informs a pragmatic approach to adversarial ML, and he has a history of teaching and mentoring across multiple universities. Based in Seattle, he brings deep cryptography- and systems-informed perspectives to privacy-preserving ML research.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at K. N. Toosi University of Technology
Amirkabir University of Technology
MS/PhD, Computer Science, MS/PhD, Computer Science at University of Massachusetts Amherst
High School, Mathematics and Physics, High School, Mathematics and Physics at National Organization for Development of Exceptional Talents (Sampad)
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