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.
11 years of coding experience