Roozbeh Mohit (Yousefzadeh)

Researcher
DISC Type : Cs

Researcher at Huawei

San Francisco Bay Area, United States

Overview

Roozbeh Mohit (Yousefzadeh) is a Researcher at Huawei focusing on AI reasoning, AI for Math, and large language models. With a PhD in Computer Science from the University of Maryland, his expertise includes the mathematics of deep learning and model interpretation. He also holds a Professional Engineer license from his prior career.

Personality Overview

Process Focused

ROI Seeker

Cost Conscious

They are thorough and always follow a systematic approach.  They are heavily focused on quality and prefer doing things the right way, even if it takes time. They do not like taking risks at all and go for proven options in the end.

Topics They Care About

AI for Math
His core research involves using AI and LLMs to write and verify formal proofs for complex mathematical problems, presenting his work at conferences like NeurIPS.
AI Ethics & Transparency
He has a stated interest in Fairness, Accountability, and Transparency in AI, co-authoring papers on how AI models extrapolate and the implications for regulation.
Academic Advocacy
He represented his department in student government, supported collective bargaining rights, and served on the Advocacy Committee for the Yale Postdoctoral Association.

Media Appearances

Roozbeh has no verified media appearances

Work History

2-2023 - 8-2025
Researcher at Huawei
7-2022 - 1-2023
Applied Scientist at Lightmatter
9-2019 - 6-2022
Postdoc at Yale University
8-2015 - 8-2019
Graduate Assistant in Computer Science at University of Maryland, College Park
6-2018 - 8-2018
Applied Machine Learning Research Fellowship at Los Alamos National Laboratory

Education

2015 - 2019
Doctor of Philosophy - PhD from University of Maryland
2015 - 2017
Master of Science - MS from University of Maryland

More Information

Social Presence :

Prographics :

Exp : 8 Location : San Francisco Bay Area, United States Job Level : N/A Designation : Researcher at Huawei
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Insights For Selling To Roozbeh

During A Call Or A Meeting

DO's

  • Actively address their concerns around change, risk, and acceptance by users
  • Use a presentation with information before getting into a live product walkthrough
  • When following up with them, expect slowness; use questions to engage them, preferably over email.

DONT's

  • Avoid emotional and informal language, stay objective and to the point instead
  • Give it some time before you try to build rapport and a relationship, it doesn't come to them naturally
  • Avoid winging it with them particularly, answer a question only if you know the answer well

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Roozbeh is

  • Adoption by others is very important to them, followed by confidence in ROI.
  • Will you ever get a clear answer from Roozbeh

  • They don’t say no often, they push out the decisions or keep going around in circles.

Insights For Deal Planning

    How fast (or slow) will Roozbeh move?

  • They don't like to hasten, so their speed of decision-making may be slow.
  • Can Roozbeh take some risk or not?

  • They have little willingness to take risks, and prefer making calculated decisions.

You And Roozbeh

Personality Compatibility


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