Shizhe Diao

Examiner
DISC Type : cs

Research Scientist at NVIDIA

San Francisco Bay Area, United States

Overview

Shizhe Diao is a Research Scientist at NVIDIA focusing on efficient and agentic foundation models. His award-winning work involves the pre-training, efficient-tuning, and alignment of large language models, drawing from his Ph. D. at The Hong Kong University of Science and Technology.

Outside of his research, Shizhe has a strong interest in competitive robotics, having led a team to a second-place finish in the World Robot Olympic Competition. He also has a passion for various water sports, including swimming, kayaking, windsurfing, and sailing.

Unique fact: Shizhe represented China and won second place out of 56 countries in the World Robot Olympic Competition held in India.

Personality Overview

Status Quo Seeker

Late Adopter

Tough To Convince

They are thorough and always follow a systematic approach.  They do not like taking risks at all and go for proven options in the end. They tend to have clarity about their needs and constraints, and are unlikely to over-promise.

Topics They Care About

Agentic AI Models
His current title and research focus on developing efficient agentic foundation models, co-authoring papers on the future of Small Language Models in agentic AI.
Open-Source Research
Frequently expresses pride in NVIDIA's open-source contributions like Nemotron and his involvement in creating popular open-source toolkits such as LMFlow.
Efficient LLM Training
His work and posts center on efficient language model training, including pre-training, fine-tuning, and alignment, with a focus on cost-saving techniques.

Media Appearances

Shizhe has no verified media appearances

Work History

6-2024
Research Scientist at NVIDIA
1-2024 - 6-2024
Research Staff at The Hong Kong University of Science and Technology
9-2021 - 7-2022
Research Intern at ByteDance AI LAB

Education

8-2023 - 1-2024
Visiting Scholar from University of Illinois Urbana-Champaign
9-2021 - 12-2023
Doctor of Philosophy - PhD from The Hong Kong University of Science and Technology

More Information

Social Presence :

Prographics :

Exp : 2 Location : San Francisco Bay Area, United States Job Level : N/A Designation : Research Scientist at NVIDIA
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Insights For Selling To Shizhe

During A Call Or A Meeting

DO's

  • Expect them to be slow and cautious, encourage them to ask more questions
  • Be firm in your communication and stay in control
  • First of all, focus on building their confidence by sharing examples, case studies etc.

DONT's

  • Don't use phrases like 'do not worry', 'i promise' etc.
  • Don't be very accepting if that is your natural style, stay firm
  • Don't push them too hard to make fast decisions, give them time

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Shizhe is

  • Adoption by others is very important to them, followed by confidence in ROI.
  • Will you ever get a clear answer from Shizhe

  • They don’t say no often, they push out the decisions or keep going around in circles.

Insights For Deal Planning

    How fast (or slow) will Shizhe move?

  • They don't like to hasten, so their speed of decision-making may be slow.
  • Can Shizhe take some risk or not?

  • They have little willingness to take risks, and prefer making calculated decisions.

You And Shizhe

Personality Compatibility


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