Zhaobin Mo in

Zhaobin Mo

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Research Scientist at TOYOTA InfoTechnology Center Co., Ltd.
📍 New York City Metropolitan Area, United States

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.

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Experience
4 Years
Current Role
Research Scientist
Location
New York City Metropolitan Area, United States
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Priorities

Topics Zhaobin cares 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.
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Career

Work history

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

Media appearances

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Education
2019 - 2024
Doctor of Philosophy - PhD
Columbia University
2018 - 2019
Master of Science - MS
Columbia University
Social presence
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Behavioral profile

DISC profile (public)

DISC behavioral profile

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