Wenyu Huang
Research Intern at Microsoft
City of Edinburgh, Scotland, United Kingdom
Summary
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Senior🎓
Top SchoolWenyu Huang is a final-year Ph.D. candidate in Natural Language Processing at the University of Edinburgh with nine years of research and engineering experience focused on retrieval-augmented generation, multi-hop question answering, long-context reasoning, and conversational search. Currently a research intern at Microsoft and previously at Huawei R&D UK, he blends academic rigor with industry-scale experimentation across large language model applications. His work is published and tracked on Google Scholar, reflecting contributions to multi-step reasoning and retrieval techniques that bridge information retrieval and generative models. Wenyu holds an MSc with Distinction in Artificial Intelligence and a bachelor’s in Computer Software Engineering, equipping him with strong theoretical foundations and practical software skills. He is based in Edinburgh and actively builds reproducible code and experiments—his GitHub documents the prototypes that accompany his research. Colleagues describe him as someone who thrives at the intersection of deep research and pragmatic system-building, especially for long-context and retrieval-driven NLP tasks.
9 years of coding experience
Doctor of Philosophy - PhD, Natual Language Processing, Doctor of Philosophy - PhD, Natual Language Processing at The University of EdinburghBachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at South China University of TechnologyProgramming languages (2)
Github contributions (5)
hwy9855/df-2018-NLP
Sep 2018 - Dec 2018
Contributions:10 commits, 3 pushes in 3 months
hwy9855/kge-python
Mar 2019 - Jul 2019
Contributions:6 commits, 2 pushes in 3 months
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