Summary
Yudong Tao is a Research Data Scientist at Meta with nine years of experience bridging deep learning and data analytics across domains such as psychology, ophthalmology, pediatrics, education, and disaster management. He holds a Ph.D. in Electrical and Computer Engineering from the University of Miami and a B.S. in Microelectronics from Fudan University, and his interdisciplinary work has produced 30+ peer-reviewed papers cited over 1,200 times. A recipient of the College of Engineering Jury Award for top graduate, he has played key roles on NSF and NIH-funded teams and helped secure grant funding while turning research into applied solutions. Based in Sunnyvale, he combines rigorous academic training with hands-on industry impact at Meta and community leadership as Vice President of the Fudan University Alumni Association of Northern California. An interesting facet of his profile is the breadth of application areas he’s influenced—demonstrating an ability to adapt core ML methods to both clinical and social-science problems.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.S.), Microelectronics, Bachelor of Science (B.S.), Microelectronics at Fudan University
Doctor of Philosophy (PhD), Computer Engineering, Doctor of Philosophy (PhD), Computer Engineering at University of Miami