Summary
Oscar 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.
8 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, Berkeley
High School Diploma, High School Diploma at Shanghai Foreign Language School Affiliated to SISU
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Pennsylvania