Rui Song

Critic
DISC Type : C

Visiting Researcher at University of Cambridge

United States

Overview

Rui Song is a Research Fellow at UCLA with expertise in computer vision, deep learning, and autonomous driving. He recently earned his PhD with the highest distinction (summa cum laude) from the Technical University of Munich and has published several papers in top-tier conferences like ICCV.

Outside of his research, Rui is embarking on a new personal journey. Shortly after successfully defending his PhD, he and his wife celebrated the arrival of their first child, marking an unforgettable chapter in his life.

He has co-led research projects with a combined budget of over €15 million at Fraunhofer IVI.

Personality Overview

Information Seeker

Precise

Critic

They like to do things independently and don’t look for support from others.  They don’t appreciate bells and whistles unless backed by data. They are quite likely to negotiate on pricing or other key terms.

Topics They Care About

Autonomous Driving
His core research focuses on applying computer vision and deep learning to autonomous driving, with multiple recent publications on the topic presented at major conferences like ICCV.
4D Scene Reconstruction
He is actively working on improving 4D scene rendering for autonomous driving, specifically using novel techniques like 4D Gaussian Splatting (4DGS).
Computer Vision
This is his primary field of expertise, demonstrated by his PhD and numerous papers accepted at leading conferences such as CVPR, ICCV, and ECCV.

Media Appearances

Rui has no verified media appearances

Work History

11-2025
Visiting Researcher at University of Cambridge
10-2025
Research Fellow at UCLA
1-2024 - 9-2025
Senior Research Associate at Fraunhofer IVI
2-2021 - 12-2023
Research Associate at Fraunhofer IVI
10-2018 - 1-2021
Software Developer at ZF Group

Education

1-2022 - 4-2025
Doctor of Philosophy - PhD from Technical University of Munich

More Information

Social Presence :

Prographics :

Exp : 8 Location : United States Job Level : Mid-senior Designation : Visiting Researcher at University of Cambridge
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Insights For Selling To Rui

During A Call Or A Meeting

DO's

  • If you can, show them industry reports or analyst comments instead of sharing anecdotal stories
  • Tell them what ROI they can expect
  • Keep some extra margin while sharing pricing, they are likely to negotiate later

DONT's

  • Avoid pushing them too much to involve other stakeholders unless it is critical
  • Don’t try too hard to build a relationship with them
  • Don’t try to give too many examples of other users, they like to make their own decisions

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Rui is

  • Proven ROI, pricing and objective proof points are the factors that sway their decision.
  • Will you ever get a clear answer from Rui

  • They are comfortable saying no if they are convinced that it is the correct decision.

Insights For Deal Planning

    How fast (or slow) will Rui move?

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

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

You And Rui

Personality Compatibility


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