Summary
Yibo Yang is a research scientist and deep learning engineer with nine years of experience building generative AI and uncertainty-aware ML systems, currently improving recommendation relevance at Instagram/Meta. He holds a PhD focused on deep learning and uncertainty quantification and combines that with interdisciplinary training in physics, economics, statistics, and data science from Peking University, University of Chicago, and UPenn. Yibo has applied his research in production settings across major tech firms—including Apple, Facebook, and Morgan Stanley—bringing rigorous probabilistic modeling to real-world ranking and automated market-making problems. Known for bridging theory and engineering, he specializes in uncertainty quantification methods that make models both more reliable and more interpretable in high-stakes applications.
9 years of coding experience
1 year of employment as a software developer
Master of Arts - MA, Statistics, Master of Arts - MA, Statistics at The Wharton School
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Peking University
Master of Science - MS, Statistics, Master of Science - MS, Statistics at University of Chicago
Certificate, Advanced Scientific Computing, Certificate, Advanced Scientific Computing at University of Pennsylvania
English, Chinese