Summary
Mingyang Zhou is an applied researcher based in New York with 11 years of experience focused on multimodal learning, particularly vision-and-language pretraining, financial LLMs, and chart/figure understanding. He holds a Ph.D. in Computer Science from UC Davis and completed a postdoc at Columbia working on cutting-edge multimodal and multilingual tasks. Mingyang has industrial research experience from Capital One, Facebook, and Microsoft internships, blending production-oriented problem solving with strong academic rigor. His work spans visual dialogue, multimodal translation, and dataset building—highlighted by EMNLP publications and a role on the winning 2018 Alexa Chatbot team—showing a knack for translating research into practical systems. Notably, he moves fluidly between deep technical development and applied research in finance-facing language models, making him adept at bridging research and product impact.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Science (B.S.) Electrical Engineering, Bachelor of Science (B.S.) Electrical Engineering at Penn State University
Deep Learning Foundation Nano Degree Deep Learning, Deep Learning Foundation Nano Degree Deep Learning at Udacity
High school graduate certification Science, High school graduate certification Science at Chendu foreign Languages School
Master's Degree Computer Vision & Robotics, Master's Degree Computer Vision & Robotics at University of Michigan
Ph.D. Computer Science, Ph.D. Computer Science at University of California, Davis
English, Chinese