Jie Tan

Jie Tan

Director @ Google DeepMind

About

An experienced researcher in AI, robotics, machine learning, computer graphics, and computer vision. I am currently a Director and Tech Lead Manager at Google DeepMind, leading the Robot Mobility team and the Embodied Reasoning team. My research focuses on developing AI technologies (e.g. foundation models, reinforcement learning) and apply them to robots. Before joining Google, I was a core member of the computational photography group at Lytro, working on 3D scanning systems, depth map generation, point cloud processing and light field pipeline. I got my PhD at Gatech (http://www.jie-tan.net/). My PhD thesis focused on physically-based character animation. I developed algorithms in physics simulation, motion planning, neural network and reinforcement learning that can automatically control virtual characters in physically simulated environments. These algorithms were published as four SIGGRAPH papers, which have solved some of the long-standing problems in computer graphics.

Country

United States

City

Mountain View

Industry

Computer Software

Skill

computer graphics, Robotics, Machine Learning, Computer Vision, OpenGL, C++, Computer Science, Algorithms, Matlab, LaTeX, Software Engineering, Computational Photography, C, Programming, Software Development

Experience

Google DeepMind

Director

Google DeepMind

LinkedIn
2025-10 - Present · 1 yr

Mountain View, California, United States

Work on Robot Foundation Models

Google DeepMind

Senior Staff Research Scientist

Google DeepMind

LinkedIn
2023-10 - 2025-10 · 2 yrs 1 mo

Mountain View, California, United States

Research on Robot Foundation Model, Reinforcement Learning, Navigation, physics simulation, and sim-to-real transfer for robotic applications.

Georgia Institute of Technology

Adjunct Associate Professor

Georgia Institute of Technology

LinkedIn
2023-1 - Present · 3 yrs 9 mos

Adjunct faculty at Georgia Tech, teaching and advising graduate students in the field of AI and robotics.

Google

Staff Research Scientist

Google

LinkedIn
2020-11 - 2023-10 · 3 yrs

Mountain View, California, United States

Google

Senior Research Scientist

Google

LinkedIn
2018-4 - 2020-10 · 2 yrs 7 mos

Mountain View, California, United States

Google

Software Engineer

Google

LinkedIn
2016-12 - 2018-3 · 1 yr 4 mos

Mountain View

Lytro (Acquired by Google)

Member of Technical Staff

Lytro (Acquired by Google)

LinkedIn
2015-9 - 2016-12 · 1 yr 4 mos

Mountain View

Research and development on light field, Virtual Reality and computational photography.

Adobe

Researcher Internship

Adobe

LinkedIn
2014-5 - 2014-8 · 4 mos

Conducted research on automatic shape completion of indoor scans using Kinect. Extended an image inpainting algorithm (PatchMatch) to 3D to complete holes in the shapes from 3D scans.

Pixar Animation Studios

Software Engineer Internship

Pixar Animation Studios

LinkedIn
2010-6 - 2010-8 · 3 mos

Participated in the development of hair simulation for Pixar animation tool: Menv 3.0. Wrote python code to complete the pipeline between the user interface and the back-end simulation.

Ubisoft China Studios

Software Engineer Internship

Ubisoft China Studios

LinkedIn
2005-7 - 2006-8 · 1 yr 2 mos

Developed new rendering features and special effects for the game “Brother in Arms: D Day” on PSP. Developed and optimized the sound engine for the game “Ghost Recon 3” on Xbox and PS2.

Education

Georgia Institute of Technology

Georgia Institute of Technology

LinkedIn

Computer Science

2009 - 2015 · 6 yrs

Researched on physics based character animation and robotics. My research spread across a wide variety of research areas, including physics simulation, numerical optimization, optimal control, motion planning and machine learning.

Shanghai Jiao Tong University

Shanghai Jiao Tong University

LinkedIn

Computer Science

2006 - 2009 · 3 yrs
Shanghai Jiao Tong University

Shanghai Jiao Tong University

LinkedIn

Computer Science

2002 - 2006 · 4 yrs

Jie Tan's Contact Information

Email

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

Phone

(**) *** ****

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