JIE GAO (He/Him)

Senior NLP Researcher at ZILO

Jie Gao is a Senior NLP Researcher at ZILO, a role he has held since 2025. He is an experienced AI scientist and engineer with over a decade of experience across both industry and academia. Jie specializes in Natural Language Processing (NLP), generative AI, and large-scale information systems, with a focus on building real-world, trustworthy AI applications.

Previously, he held a Staff-level NLP research and engineering position at Logically AI, where he built systems for fact-checking, disinformation detection, and influence analysis. He has also held academic research roles and conducted PhD research in NLP at the University of Sheffield, contributing to EU/UK-funded projects in semantic technologies and urban data analytics. Jie began his career as a senior software engineer in enterprise platforms and holds degrees in NLP, Web Technology, and Computer Science.

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London, United Kingdom


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ZILO

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Our mission is to revolutionise fund administration.ZILO is focused on transforming the global asset management sector to create sustainable value for firms and the customers they serve. To achieve this, we started with a clean technology slate, a design-driven approach, and a commitment to put people first. ZILO's technology enables firms toreplace legacy technology and end-of-life systems, many of which were developed 30+ years ago, and slash costs, risk, and user friction along the way.This digital transformation journey requires strong partnerships with our customers to modernise and expand their product and service propositions by unifying transfer agency, fund platforms, and fund accounting into a single global solution.While we are a young fintech, our founders, leadership, engineering, and product teams are highly experienced with successful track histories of pioneering innovation-driven businesses, products, and services in our sector. Our collective goal is to be the market leading solution in global asset management. We would also like to spread some joy along the way.


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51-200

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