Ran Wei

Critic
DISC Type : C

Data Scientist at Waymo

United States

Overview

Ran Wei is a Data Scientist at Waymo, specializing in machine learning and statistics. With a PhD from Texas A&M University, his expertise centers on simulation, evaluation, and probabilistic models for autonomous systems. He has previously conducted research at VERSES and Duke University, focusing on human-computer interaction and transportation safety.

His intellectual interests extend to the intersection of artificial intelligence and human psychology. He actively explores concepts like human-AI collaboration, empowerment versus reward inference, and the psychology of optimal compute allocation, drawing insights from bounded rationality theory. He has completed advanced certifications in Bayesian Methods and Probabilistic Graphical Models.

Unique Fact: He has published research on how the behavior of human drivers can be used to estimate their internal beliefs, such as trust and situation awareness.

Personality Overview

ROI Driven

Precise

Critic

They are quite likely to negotiate on pricing or other key terms.  They prefer to do logical analysis and value evidence over emotions. They don’t appreciate bells and whistles unless backed by data.

Topics They Care About

Human-AI Collaboration
He actively writes and thinks about the ultimate objectives for AI collaboration, comparing paradigms like reward inference with empowerment.
Probabilistic Models
His research includes work on structured probabilistic models for trajectory prediction and he holds certifications in probabilistic graphical models.
Autonomous Vehicle Safety
His work involves analyzing human driver beliefs and trust in automation, directly impacting the safety and evaluation of self-driving technology.

Media Appearances

Ran has no verified media appearances

Work History

7-2025
Data Scientist at Waymo
4-2025 - 7-2025
Sr. ML Research Engineer at VERSES
9-2023 - 4-2025
Researcher at VERSES
6-2019 - 8-2023
Research Assistant at Texas A&M University
5-2018 - 8-2018
Research Assistant at Duke University

Education

2019 - 2023
PhD from Texas A&M University
2015 - 2019
Bachelor's Degree from Rutgers University

More Information

Social Presence :

Prographics :

Exp : 7 Location : United States Job Level : N/A Designation : Data Scientist at Waymo
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Insights For Selling To Ran

During A Call Or A Meeting

DO's

  • Don’t forget to mention how you compare to competition on both features and pricing
  • Leverage facts and figures wherever possible; use percentages, numbers etc.
  • If you can, show them industry reports or analyst comments instead of sharing anecdotal stories

DONT's

  • Make extra effort to not seem pushy or confrontational
  • Avoid pushing them too much to involve other stakeholders unless it is critical
  • 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 Ran is

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

  • 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 Ran move?

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

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

You And Ran

Personality Compatibility


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