Summary
Bowen Zhang is a machine learning researcher with a decade of experience, currently working on foundation models at Apple AI/ML in New York City. He combines rigorous academic training—a PhD in Computer Science from USC and a high-achieving B.Eng. in Mathematics and Computer Science from Tongji University—with hands-on research into large-scale ML systems. Based in Menlo Park and active in both coasts, he bridges theoretical depth and product-focused engineering to move models from research prototypes toward deployable foundations. His GitHub persona, "Learning & Playing," hints at a pragmatic curiosity that fuels iterative experimentation and rapid prototyping. Bowen’s background suggests strength in both formal methods and applied ML, making him adept at translating complex algorithms into real-world systems.
11 years of coding experience
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of Southern California
Bachelor of Engineering (B.Eng.), Mathematics and Computer Science, 4.52/5.0 (90.23/100), Bachelor of Engineering (B.Eng.), Mathematics and Computer Science, 4.52/5.0 (90.23/100) at Tongji University