Mao Ye
Member Of Technical Staff at OpenAI
California, United States
Summary
👤
Senior🎓
Top SchoolMao Ye is an AI researcher and Member of Technical Staff at OpenAI with a decade of experience focused on vision-language models, generative modeling, model efficiency, and robustness. Previously a senior research scientist at Cruise and research intern at Waymo and Facebook, Mao combines applied multimodal post-training work with core ML research that bridges academic rigor from a PhD at UT Austin and practical deployment in autonomy. Their background in statistics (Purdue) and mathematics (Zhejiang University) underpins a strong quantitative approach to model design and evaluation. Notably comfortable moving ideas from prototype to production, Mao has repeatedly contributed to ML systems used in safety-critical settings like autonomous vehicles.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of Texas at AustinMaster's degree, Statistics, Master's degree, Statistics at Purdue UniversityMATHEMATICS AND STATISTICS, MATHEMATICS AND STATISTICS at Zhejiang University
Github Skills (2)
regularization9
neural-network5
Programming languages (1)
Github contributions (5)
lushleaf/varying-coefficient-net-with-functional-tr
Jan 2021 - Sep 2022
[ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effects
Contributions:20 commits, 19 pushes, 1 branch in 1 year 7 months
neural-networkregularization
lushleaf/lushleaf.github.io
Oct 2020 - Jan 2025
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:61 pushes in 4 years 4 months
templategithub-pages-templatemmistakesmistakesjekyll
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