Junzhe Zhang

Critic
DISC Type : C

Assistant Professor at Syracuse University

New York, New York, United States

Overview

Junzhe Zhang is an Assistant Professor at Syracuse Universitys Department of Electrical Engineering and Computer Science, holding a Ph. D. from Columbia University. His research focuses on causal inference and reinforcement learning, with an emphasis on developing robust, efficient, and fair decision-making systems.

There is no publicly available information about his personal life or interests outside of his academic and professional work.

His recent research on "Confounding Robust Deep Reinforcement Learning" was accepted at NeurIPS, a top-tier conference in artificial intelligence.

Personality Overview

Negotiator

Information Seeker

Critic

They are quite likely to negotiate on pricing or other key terms.  They enjoy working alone and do not rely on others very often. They don’t appreciate bells and whistles unless backed by data.

Topics They Care About

Causal Inference
His primary research area at Syracuse University, focusing on robust decision-making by understanding cause-and-effect relationships in data.
Reinforcement Learning
A core focus of his work, demonstrated by multiple publications and conference presentations on creating robust learning agents.
AI Fairness
Actively researches how to address data bias in AI, as shown by his hiring for an RA to investigate bias in LLMs and a publication on the topic.

Media Appearances

Junzhe has no verified media appearances

Work History

8-2024
Assistant Professor at Syracuse University
10-2023 - 8-2024
Postdoctoral Researcher at Columbia University
8-2019 - 9-2023
Graduate Research Assistant at Columbia University
9-2015 - 7-2019
Graduate Research Assistant at Purdue University
7-2014 - 6-2015
Software Engineer at Azure, Microsoft

Education

2019 - 2022
Doctor of Philosophy (PhD) from Columbia University
2015 - 2019
Doctor of Philosophy (PhD) from Purdue University

More Information

Social Presence :

Prographics :

Exp : 11 Location : New York, New York, United States Job Level : Junior Designation : Assistant Professor at Syracuse University
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Insights For Selling To Junzhe

During A Call Or A Meeting

DO's

  • Use phrases like ‘expect X% improvement’, ‘data clearly shows’ etc.
  • If you can, show them industry reports or analyst comments instead of sharing anecdotal stories
  • Leverage facts and figures wherever possible; use percentages, numbers etc.

DONT's

  • Don’t rush them till they have clearly gotten all the necessary information
  • Make extra effort to not seem pushy or confrontational
  • Avoid phrases like ‘trust me’, ‘others just love’ etc.

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Junzhe is

  • Strong evidence of ROI, effective pricing, and proven data points matter the most to them.
  • Will you ever get a clear answer from Junzhe

  • It is not very hard for them to say no if they are not convinced about the decision.

Insights For Deal Planning

    How fast (or slow) will Junzhe move?

  • They are neither the fastest nor the slowest decision makers, they are somewhere in the middle.
  • Can Junzhe take some risk or not?

  • They can bear some risk if their analysis backs the decision.

You And Junzhe

Personality Compatibility


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