Hongyuan MEI

Hongyuan MEI

Co-Founder @ Stealth AI Startup

About

My research interests are rooted in designing machine learning models and algorithms to solve challenging real-world problems. My current focus is modelling sequential data, which is essential in time-stamped event prediction and natural language understanding. My research webpage is: https://www.hongyuanmei.com/

Country

United States

City

San Francisco Bay Area

Industry

Research

Skill

Machine Learning, Artificial Neural Networks, Natural Language Understanding, Matlab, Python, C++, Mathematical Modeling, Monte Carlo Simulation, VBA, Bloomberg, Microsoft Excel, Option Pricing Models, Java, SPSS, SQL

Experience

Stealth AI Startup

Co-Founder

Stealth AI Startup

LinkedIn
2026-2 - Present · 8 mos

Building AGI.

xAI

Member of Technical Staff

xAI

LinkedIn
2025-4 - 2026-2 · 11 mos

Palo Alto, California, United States

Tech lead in Reasoning Org, focusing on AI4Science and AI Agents. Key contributor to Grok reasoning models (e.g., Grok 4, Grok 4 Heavy, Grok 4.1 Fast). Shipped Grok in Tesla.

Google DeepMind

Senior Research Scientist

Google DeepMind

LinkedIn
2024-9 - 2025-4 · 8 mos

Mountain View, California, United States

Making Google Gemini smarter.

Toyota Technological Institute at Chicago (TTIC)

Research Assistant Professor

Toyota Technological Institute at Chicago (TTIC)

LinkedIn
2021-9 - 2024-8 · 3 yrs

Chicago, Illinois, United States

Bloomberg

Research Intern

Bloomberg

LinkedIn
2019-5 - 2019-8 · 4 mos

New York, New York, United States

Microsoft

Research Intern

Microsoft

LinkedIn
2016-5 - 2016-8 · 4 mos

Redmond, WA

Develop methodologies to map natural language instructions to executable programs.

Toyota Technological Institute at Chicago (TTIC)

Research Intern

Toyota Technological Institute at Chicago (TTIC)

LinkedIn
2015-3 - 2016-5 · 1 yr 3 mos

Enabled robots to follow free-form natural language navigational instructions in unknown environment, with alignment-based long short-term memory recurrent neural network (LSTM-RNN). Solved selective generation problem with an alignment-based LSTM-RNN. Developed a coarse-to-fine, multi-input neural aligner to identify the small subset of salient records within an over-determined set. Developed a ranking algorithm to improve accuracy for vision-based vehicle localization.

The University of Chicago Booth School of Business

Research Assistant

The University of Chicago Booth School of Business

LinkedIn
2013-7 - 2013-9 · 3 mos

Greater Chicago Area

Designed and implemented efficient algorithms to process high frequency trading data into the best-suited formats for given research projects.

Huazhong University of Science and Technology

Research Assistant

Huazhong University of Science and Technology

LinkedIn
2009-10 - 2011-6 · 1 yr 9 mos

No.1037 Luoyu Road, Wuhan, Hubei, China

Implemented models for research in wireless cooperative networks, primarily in game-theoretic approaches for optimal resource allocation. Developed a Flow Tracker to monitor data transmission within a certain network.

Education

The Johns Hopkins University

The Johns Hopkins University

LinkedIn

Computer Science

2016 - 2021 · 5 yrs

I am a Ph.D. student in Department of Computer Science at Johns Hopkins University, affiliated with the Center for Language and Speech Processing. My research interests are rooted in designing models and algorithms to solve challenging problems in the field of natural language processing.

University of Chicago

University of Chicago

LinkedIn

Financial Mathematics

2012 - 2013 · 1 yr
Huazhong University of Science and Technology

Huazhong University of Science and Technology

LinkedIn

Electrical, Electronics and Communications Engineering

2008 - 2012 · 4 yrs

Advanced Class for Elite Range (ACER). Bachelors in Eletrical Engineering with Finance minor.

University of Chicago

University of Chicago

LinkedIn

Computer Science and Statistics

2015 - Present · 11 yrs

Hongyuan MEI's Contact Information

Email

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

Phone

(**) *** ****

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