Summary
Ming-chang Chiu is a postdoctoral researcher at Cornell Tech with 11 years of experience bridging machine learning research and applied systems across academia and industry. He specializes in multi-party agent interactions and safe, robust multimodal models, having contributed to award-winning generative work at Google Research (Best Paper, ICML 2024) and developed GPT-4-like visual-language models at NVIDIA. His background spans AI safety and robustness benchmarking at national labs, large-scale data-driven improvements to VLMs, and practical ML systems from high-performance computing to production translation pipelines. Comfortable moving between research and engineering, he has a PhD from USC and a track record of turning benchmarks and data strategies into measurable model gains. An often-overlooked strength is his experience operationalizing defenses and OOD detection for vision-language models, reflecting a focus on deploying safe, real-world ML.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Southern California
Exchange Student CSE, Exchange Student CSE at University of Minnesota
Exchange Student Computer Science, Exchange Student Computer Science at Tsinghua University
Bachelor of Science (B.S.) Electrical Engineering and Computer Science, Bachelor of Science (B.S.) Electrical Engineering and Computer Science at National Tsing Hua University
Chinese, English, Mandarin