Jerry Gao
JIE(pronun: jay) GAO(Jerry)




London
UK
email: jiegaouk AT gmail.com

         

       

I'm an AI scientist and engineer with over 18 years of experience across industry and academia. My work focuses on building knowledge-intensive intelligent systems that make sense of messy, unstructured information at scale — from natural language to online behavior.

Recently, I'm joining a FinTech company to lead the development of cutting-edge, LLM-powered and agentic AI workflows for global asset and wealth management. The mission: streamline operations, optimize decision-making, reduce friction across the investment lifecycle, and build trustworthy, robust AI systems tailored for the high-stakes world of financial services.

Previously, I held a Staff level position at Logically AI, where I focused on disinformation detection, evidence-based fact-checking, and credibility assessment. I designed systems that combined large language models, weak supervision, and human-in-the-loop methods to address real-world challenges in public trust and online manipulation.

Before that, I spent several years in research roles at the University of Sheffield OAK Research Group (now Pervasive Computing) and the University of Westminster, contributing to large-scale EU and UK-funded projects in NLP, semantic technologies, and urban mobility analytics. I also worked as a KTP associate with ActiveStandards (now acquired by crownpeak), bridging academic innovation with enterprise semantic services. During the period, i was also serving on the program committee as reviewer for a number of top-tier academic journals / conferences / workshops, such as ACL, Journal of Natural Language Engineering, Journal of Intelligent Systems, PLOS ONE, ESWC, USEC, etc.

Earlier in my career, I was a senior software engineer at a top US-Chinese outsourcing company (later acquired by EPAM Systems), where I built scalable enterprise-grade systems for Insurance companies and developed a strong foundation in robust, high-performance software development.

I hold degrees in NLP, Web Technology and Computer Science, and my core interests include generative AI, statistical NLP, agentic AI, knowledge representation, and LLM safety/trustworthiness. I’m passionate about translating AI research into real-world, deployable systems that solve meaningful problems — whether in media integrity, public discourse, or global finance.

When I’m not deep in code or models, I’m usually out cycling, hiking, swimming, or exploring museums and galleries.

For more details, see my publications and CV.

Curious about my work on disinformation and open-source intelligence? Check out my blog — I regularly share insights, research, and thoughts there.

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