Zhaobin Mo

Questioner
DISC Type : c

Research Scientist at TOYOTA InfoTechnology Center Co., Ltd.

New York City Metropolitan Area, United States

Overview

Zhaobin Mo is a Research Scientist at Toyotas InfoTechnology Center, specializing in LLM applications for multi-agent systems. A PhD graduate from Columbia Universitys Department of Civil Engineering, his expertise includes deep generative models, agentic AI, and physics-informed deep learning, with a focus on creating safe, robust, and explainable machine learning systems.

He has a strong background in transportation systems, contributing to projects on traffic state estimation and urban mobility. His research has been presented at major conferences, and he has co-authored papers on topics ranging from digital twins for traffic management to using naturalistic driving data for detecting dementia.

He was involved in the development of the Digital Twin of New York City, a project nominated for a Smart Cities award.

Personality Overview

Systematic

Cautious & Analytical

Price-Sensitive

They prefer to fully evaluate every situation.  While they don't hesitate to ask questions, they are generally risk-averse and tend to be late adopters. They generally do not appreciate an overfriendly approach and prefer to stay to-the-point.

Topics They Care About

Agentic AI Systems
His current role at Toyota focuses on research in LLM applications within multi-agent systems and agentic AI.
Physics-Informed AI
A core area of his PhD research and the subject of a survey paper he co-authored, focusing on its application in traffic state estimation.
Urban Digital Twins
He was a key contributor to the "Digital Twin of New York City" project and has attended workshops on the topic, indicating a strong professional interest.

Media Appearances

Zhaobin has no verified media appearances

Work History

3-2025
Research Scientist at TOYOTA InfoTechnology Center Co., Ltd.
8-2018 - 12-2024
Graduate Research Assistant at Columbia University in the City of New York
1-2019 - 8-2021
Teaching Assistant at Columbia University in the City of New York
6-2024 - 8-2024
Research Intern at Argonne National Laboratory
6-2022 - 8-2022
Research Intern at Siemens

Education

2019 - 2024
Doctor of Philosophy - PhD from Columbia University
2018 - 2019
Master of Science - MS from Columbia University

More Information

Social Presence :

Prographics :

Exp : 4 Location : New York City Metropolitan Area, United States Job Level : N/A Designation : Research Scientist at TOYOTA InfoTechnology Center Co., Ltd.
URL has been copied!

Insights For Selling To Zhaobin

During A Call Or A Meeting

DO's

  • Emphasise more on facts and measurable benefits
  • Keep some extra margin in hand as they will likely negotiate the pricing
  • Share as much information as possible regarding your product

DONT's

  • Avoid rushing them, be polite and patient
  • Don’t overhype the product/pitch, keep it measured
  • Don’t try to be too friendly or informal with them

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Zhaobin is

  • Ensuring that the product delivers ROI, cost-effective pricing and process compliance are very important for them.
  • Will you ever get a clear answer from Zhaobin

  • It doesn’t come naturally to them but they can say no if they are not convinced.

Insights For Deal Planning

    How fast (or slow) will Zhaobin move?

  • If they have the information that they need, they can move fast at making their decisions.
  • Can Zhaobin take some risk or not?

  • If they believe that they have analyzed the situation well, they can take a little risk.

You And Zhaobin

Personality Compatibility


More Profiles

Discover additional public profiles from our index.

Search more profiles

Looking for someone else? Search here for anyone.

Or visit Humantic AI to know more.