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Justin Mao-Jones

Research Engineer

Justin Mao-Jones is a highly accomplished individual with a diverse educational background and extensive professional experience in the tech industry.

He holds a Master of Science (M.S.) in Data Science from New York University, a Bachelor of Science (B.S.) in Operations Research Engineering from Cornell University, and has also studied Chinese Language at Shanghai University.

Justin has held various key roles in prestigious organizations, including Research Engineer at Google DeepMind, Senior Machine Learning Engineer at Snap Inc. and Twitter, Machine Learning Engineer at Apple, Graduate Student Researcher at NYU Courant Institute of Mathematical Sciences, and Research Assistant at NYU Courant Institute of Mathematical Sciences.

His experience also extends to roles such as Data Science PhD Intern and Project Manager at Apple, Program Manager at Ascend Analytics, Independent Consultant in Shanghai, China, Process Design Engineer at Merrick & Company, and Engineering Intern at Merrick & Company.

Justin's wide-ranging expertise covers areas such as data science, machine learning, research, project management, and engineering, demonstrating his versatility and proficiency across different domains.

His educational background and professional journey reflect a strong commitment to continuous learning, innovation, and applying his skills to tackle complex challenges in the tech and data science fields.

Highlights

Mar 8 · mila.quebec
Fabio Viola | Mila
Fabio Viola | Mila
Feb 21 · arxiv.org
[PDF] Gemma: Open Models Based on Gemini Research and Technology

Related Questions

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Justin Mao-Jones
Justin Mao-Jones, photo 1
Justin Mao-Jones, photo 2
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Location

San Francisco, California, United States