Xingxuan Li is a Member of Technical Staff and Ph.D. candidate in Artificial Intelligence based in Singapore with eight years’ experience bridging research and applied ML. He has worked across industry and academia—from risk and quantitative analysis in energy trading to knowledge-augmented reasoning and LLM safety at DAMO Academy and NTU—and now contributes to building toward AGI at MiroMind.ai. His background combines deep academic training (PhD work, NUS Master’s, and SUTD BEng) with hands-on engineering in production settings, giving him fluency in both theoretical modelling and pragmatic system delivery. Notably, his research focuses on augmenting large language models with structured knowledge for safer, more reliable reasoning—an angle that informs his current AGI-oriented work. Colleagues describe him as the kind of researcher-engineer who mines real-world signals (e.g., financial and supply-chain indicators) to ground model behavior, turning complex data into actionable ML components.
8 years of coding experience
1 year of employment as a software developer
Master of Computing, Artificial Intelligence, Master of Computing, Artificial Intelligence at National University of Singapore
Bachelor of Engineering (Honours), Computer Science, Bachelor of Engineering (Honours), Computer Science at Singapore University of Technology and Design (SUTD)
High School, Science, High School, Science at Changzhou No.1 High School
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Nanyang Technological University Singapore
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