Daming Li, PhD

Critic
DISC Type : C

Sr. Software Engineer, Machine Learning at LinkedIn

San Mateo, California, United States

Overview

Daming Li is a Machine Learning Engineer at LinkedIn with a PhD in theoretical biological physics and computational neuroscience from Yale University. He specializes in recommendation systems, with deep experience in ranking, retrieval, and Transformer-based sequential rankers for social media feeds.

He has a proven track record in competitive data science, having achieved 3rd place in two separate Citadel regional datathons.

Personality Overview

ROI Driven

Negotiator

Objective Thinker

They don’t appreciate bells and whistles unless backed by data.  They like to take decisions independently and do not seek others' support often. They prefer to analyze logically and value objective facts over emotions.

Topics They Care About

Recommendation Systems
His career is focused on RecSys, developing ranking and retrieval models for LinkedIn's Feed and formerly for Facebook Reels.
Computational Neuroscience
His PhD from Yale focused on modeling brain circuits and neural dynamics, applying principles of dynamical systems and control to his work.
Large Language Models
His current role involves leveraging LLMs and multi-GPU distributed training to enhance LinkedIn's feed ranker.

Media Appearances

Daming Li successfully defends thesis, "Bistable Neural Dynamics Underlying Cognition and Spontaneous Activity: Computational Modeling and Empirical Analysis". Featured in Yale University Department of Physics

See Now

Work History

3-2025
Sr. Software Engineer, Machine Learning at LinkedIn
6-2021 - 8-2021
Research Intern, Core Data Science (CDS) at Facebook
1-2017 - 12-2018
Teaching Fellow at Yale University
8-2016 - 5-2022
PhD Student at Yale University
Software Engineer, Machine Learning at Meta

Education

2016 - 2022
Doctor of Philosophy (PhD) from Yale University
2014 - 2016
Master of Science (M.S.) and Magistère (Honor Track) from Université Paris Cité

More Information

Social Presence :

Prographics :

Exp : 3 Location : San Mateo, California, United States Job Level : Junior Designation : Sr. Software Engineer, Machine Learning at LinkedIn
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Insights For Selling To Daming

During A Call Or A Meeting

DO's

  • Keep some extra margin while sharing pricing, they are likely to negotiate later
  • 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.

DONT's

  • Don’t try too hard to build a relationship with them
  • Avoid pushing them too much to involve other stakeholders unless it is critical
  • Make extra effort to not seem pushy or confrontational

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Daming is

  • Proof of ROI, low pricing and objective proof points are the important factors for them.
  • Will you ever get a clear answer from Daming

  • They do not mind saying no if they believe that it is the right decision.

Insights For Deal Planning

    How fast (or slow) will Daming move?

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

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

You And Daming

Personality Compatibility


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