Summary
Bingbing Li is a PhD-level researcher and engineer with 11 years of experience specializing in machine learning acceleration, model pruning, deep learning algorithms, hardware-software codesign, and robotics. Currently a Graduate Research Assistant at the University of Connecticut and formerly a research intern at Tsinghua and Kuaishou, she has worked on practical model compression and acceleration for ASR systems including Speech-Transformer, Conformer, and BERT. Her profile bridges rigorous academic work—evidenced by publications on Google Scholar—with hands-on production-focused optimization and deployment. Comfortable across cross-disciplinary teams, she blends deep learning, NLP, and DRL expertise with embedded/hardware-aware design. An international background spanning top Chinese institutions and US research labs gives her a unique perspective on translating cutting-edge research into efficient, real-world systems.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (Ph.D.), Pattern Recognition and Intelligent System, Doctor of Philosophy (Ph.D.), Pattern Recognition and Intelligent System at University of Chinese Academy of Sciences
Pattern Recognition and Intelligent System, Pattern Recognition and Intelligent System at University of Science and Technology of China
Bachelor’s Degree, Intelligence Science and Technology, Bachelor’s Degree, Intelligence Science and Technology at Xidian University
Doctor of Philosophy - PhD, Deep learning, NLP, Model compression, DRL, Doctor of Philosophy - PhD, Deep learning, NLP, Model compression, DRL at University of Connecticut