Oscar Xu
Chief Technology Officer at University of Pennsylvania
Philadelphia, Pennsylvania, United States
Summary
🤩
Rockstar🎓
Top SchoolOscar Xu is a CTO and PhD student in computer science with nine years of experience building and researching machine learning systems at the intersection of academia and industry. He has led engineering and research efforts at Rabdos AI and UC Berkeley’s BAIR lab, contributing to papers on model initialization, dropout for underfitting, and anytime dense prediction—work that bridges theory and production-facing ML. His internship at Twitter focused on video and social ranking, reflecting applied expertise in large-scale recommendation and ranking systems. Trained at Berkeley and now at Penn, he combines rigorous research instincts with hands-on product delivery, often translating academic insights into deployable models. Based in Philadelphia, he brings both startup CTO pragmatism and deep research provenance to AI system design and leadership.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of California, BerkeleyHigh School Diploma, High School Diploma at Shanghai Foreign Language School Affiliated to SISUDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Pennsylvania
Github Skills (17)
machine-learning9
neural-network9
deep-learning9
adb9
cuda9
multiprocessing8
python8
deep-neural-networks8
ml8
tensorflow6
wechat5
large-language-models4
generative-model4
rlhf2
3d2
Programming languages (2)
Github contributions (5)
liuzhuang13/anytime
Apr 2022 - Jan 2023
Anytime Dense Prediction with Confidence Adaptivity (ICLR 2022)
Contributions:3 commits, 4 pushes, 1 comment in 9 months
OscarXZQ/weight-selection
Nov 2023 - Sep 2024
Contributions:2 PRs, 6 pushes, 1 branch in 10 months
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