Tianyi Li
Applied Scientist at Amazon
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolTianyi Li is an Applied Scientist and third-year PhD student at the University of Edinburgh specializing in directionality in natural language inference, with research interests spanning knowledge graphs and LLM hallucinations. With nine years of industry experience and internships at Huawei R&D UK and Amazon—now an Applied Scientist at Amazon—he blends rigorous academic research with applied problem-solving in production settings. A Peking University computer science graduate with a minor in economics, he brings a quantitative mindset to language understanding and inference tasks. Based in Cambridge, UK, Tianyi is known for probing how entailment directionality and external knowledge influence model reliability, an angle that informs both his publications and applied model-debiasing efforts.
9 years of coding experience
1 year of employment as a software developer
Doctor's Degree Informatics ILCC: institute for language cognition and computation, Doctor's Degree Informatics ILCC: institute for language cognition and computation at The University of EdinburghBachelor's degree Computer Science, Bachelor's degree Computer Science at Peking University
Chinese, English, German
Github Skills (15)
graph1
thesaurus1
extraction1
cytoscapejs1
network-graph1
wolfram-language1
knowledge-graph1
nlp1
coverage1
similarity1
relation-extraction1
relation1
evaluation1
natural-language-processing1
lda1
Programming languages (2)
Github contributions (5)
Teddy-Li/SemiAuto_Data_Text_SQL
Feb 2020 - Jun 2021
Contributions:76 commits, 65 pushes in 1 year 3 months
Teddy-Li/ChineseEntGraph-Root
Jan 2022 - Mar 2022
Contributions:8 commits, 5 pushes in 2 months
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