Felix Xinnan Yu

Felix Xinnan Yu

Principal Scientist, Director @ Google DeepMind

About

GenAI@DeepMindImprove Gemini's fundamental capabilities of retrieving and memorizing information.Before DeepMind, I worked on deep retrieval, efficient LLMs and their intersections. The deep retrieval algorithms and models developed by my team and me are widely used at Google (Search, Ads, Shopping, YouTube, Play and the new GenAI experience). https://felixyu.orghttps://scholar.google.com/citations?user=lYvF6cUAAAAJ

Country

United States

City

New York

Industry

Internet

Skill

Machine Learning

Experience

Google DeepMind

Principal Scientist, Director

Google DeepMind

LinkedIn
2025-8 - Present · 1 yr 2 mos

New York, NY

Improve Gemini's fundamental capabilities of retrieving and memorizing information.

Google

Principal Scientist, Director

Google

LinkedIn
2025-5 - 2025-8 · 4 mos

New York, New York, United States

Revamping retrieval and ranking with LLMs.

Google

Senior Staff Research Scientist, Manager

Google

LinkedIn
2022-5 - 2025-5 · 3 yrs 1 mo

New York, New York, United States

Retrieval augmented models (the new GenAI Search experience, Cloud, Play, Shopping). Using deep retrieval as fundamental building block for LLMs (long context, memory, new decoding mechanisms).

Google

Staff Research Scientist, Manager

Google

LinkedIn
2019-9 - 2022-5 · 2 yrs 9 mos

New York, New York, United States

Drove the wide adaptation of deep retrieval and embedding models in key Google products. Fundamental research of deep retrieval: distillation, pre-training tasks, novel architectures.

Google

Senior Research Scientist

Google

LinkedIn
2017-9 - 2019-9 · 2 yrs 1 mo

New York, New York, United States

Developed one of the first deep retrieval and embedding models used in Search. Fundamental research of deep retrieval: negative sampling, loss function, regularization, optimization.

Google

Research Scientist

Google

LinkedIn
2016-9 - 2017-9 · 1 yr 1 mo

New York, New York, United States

Neural network compression and quantization; structured matrices; distributed and communication efficient learning.

Google

Software Engineer

Google

LinkedIn
2015-6 - 2016-9 · 1 yr 4 mos

New York, New York, United States

Efficient machine learning on/for mobile devices.

Google

Software Engineering Intern

Google

LinkedIn
2014-5 - 2014-8 · 4 mos

New York, New York, United States

Theory and applications of structured matrices; efficient on-device ML models.

IBM

Research Intern

IBM

LinkedIn
2013-6 - 2013-9 · 4 mos

Yorktown Heights, New York, United States

Education

Columbia University

Columbia University

LinkedIn

Electrical Engineering

2010 - 2015 · 5 yrs

Learning with weak supervision; fast approximate nearest neighbor search; applications in computer vision.

Tsinghua University

Tsinghua University

LinkedIn

Electronic Engineering

2006 - 2010 · 4 yrs

Felix Xinnan Yu's Contact Information

Email

******@***.com

Phone

(**) *** ****

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