Maaz M

Observer
DISC Type : ic

Research Fellow at Anthropic

Canada

Overview

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.

Personality Overview

Value Driven

Curious

Assertive

They are generally good communicators and can be hard to convince.  They can sound friendly and charming but can quickly change gears to become inquisitive and probing. They often ask many questions and rely heavily on information and documentation.

Topics They Care About

AI in Healthcare
He holds an MD and worked on multimodal AI models for diagnosing cardiac conditions during his time as a visiting researcher at MIT.
Agentic AI
His current research at Anthropic focuses on AI agents, software testing, and cybersecurity, exploring the capabilities and safety of autonomous systems.
Scientific Computing
He is passionate about building practical software, having developed a solver now part of SymPy and contributed to the NumPy library.

Media Appearances

Maaz has no verified media appearances

Work History

8-2025
Research Fellow at Anthropic
2-2024 - 7-2024
Visiting Researcher at MIT Sloan School of Management
6-2022 - 9-2022
Applied Scientist at Amazon
4-2021 - 9-2021
Summer Research Student at University of Toronto
3-2020 - 10-2020
Research Assistant at McMaster University

Education

2022 - 2025
Doctor of Philosophy - PhD from University of Toronto
2020 - 2024
Doctor of Medicine - MD from University of Toronto

More Information

Social Presence :

Prographics :

Exp : 3 Location : Canada Job Level : Mid-senior Designation : Research Fellow at Anthropic
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Insights For Selling To Maaz

During A Call Or A Meeting

DO's

  • Help them realize that there is no personal risk in making this decision
  • Persuade objectively how your product will help them achieve their goals
  • Use phrases like ‘clear proof that’, ‘data shows’ etc.

DONT's

  • Avoid making offhand commitments
  • Don’t try to rush them into a decision, provide all necessary information first
  • Don’t rely excessively on your relationship with them to win the deal

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Maaz is

  • Clear proof of product value matters to them, followed by others' testimonials and rapport.
  • Will you ever get a clear answer from Maaz

  • They are practical and friendly, don't expect a clear-cut response often.

Insights For Deal Planning

    How fast (or slow) will Maaz move?

  • They like to perform full analysis and can take time to make any decision.
  • Can Maaz take some risk or not?

  • They systematically evaluate all decisions and are unlikely to take many risks.

You And Maaz

Personality Compatibility


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