Maaz is a Research Fellow at Anthropic, focusing on LLMs, AI agents, and cybersecurity. He holds both an MD and a PhD in Operations Research from the University of Toronto, where he was an NSERC Vanier Scholar. His expertise lies in optimization, machine learning, and formal verification.
Outside of his research, Maaz is passionate about building scientific software and has contributed to major open-source libraries like SymPy and NumPy. In his free time, he enjoys powerlifting and reading, and is always open to discussing new and interesting ideas.
He completed his PhD in a record time of just three years.
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