Summary
Minhao Cheng is an assistant professor and machine learning researcher with a decade of experience focused on large-scale ML problems such as robustness, AutoML, and sequential models. He completed doctoral training at UCLA and has held research and faculty roles at HKUST and Penn State, with industry internships at Microsoft and IBM where he advanced adversarial training techniques to improve generalization and scalability. His work blends theoretical rigor with practical systems thinking, producing approaches like linear adversarial masking and vicinal-function heuristics to make robustness-training more effective. Based in Bethlehem, PA, he also has a patent-backed internship project from Slice Technologies, reflecting an ability to translate research ideas into product-ready innovations.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of California, Davis
University of California, Los Angeles
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at University of Electronic Science and Technology of China