Summary
Liang Ma is a Senior Applied Scientist II with 10+ years building and deploying AI systems, currently driving Cocounsel research at Thomson Reuters Labs. He brings deep research pedigree from IBM T.J. Watson and Dataminr, where he led LLM-based summarization, QA pipelines, RL for NLP, and graph neural approaches for information retrieval. Trained as an electrical engineer with a PhD from Imperial College London, Liang blends rigorous theoretical work (node embedding, network identifiability) with hands-on production model development and user-facing quality control. He has a track record of mentoring junior researchers and translating cutting-edge models into reliable customer-facing features. Based in Hangzhou, he pairs strong distributed-systems and network analysis roots with practical expertise in text-generation safety and summary quality. A candid pragmatist—his GitHub motto, “RTFSC,” reflects a preference for deep code reading over buzzwords.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Electrical Engineering, Doctor of Philosophy (Ph.D.) Electrical Engineering at Imperial College London
Master of Science Electrical Engineering, Master of Science Electrical Engineering at Beijing University of Posts and Telecommunications
Chinese, English