Leo Yang
Senior Applied Scientist at Thomson Reuters
Toronto, Ontario, Canada
Summary
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Senior🎓
Top SchoolLeo Yang is a Senior Applied Scientist in Toronto with 10 years of experience building NLP, knowledge-graph, and multimodal document-understanding solutions, currently leading applied research at Thomson Reuters. He has a strong track record in human-in-the-loop systems, named entity recognition, and legal-document summarization, including a proof-of-concept editorial tool that reached human-level performance in online testing. His background blends academic research in graph embedding and recommender/dialogue systems with practical data-science roles driving social media analytics and product-focused POCs. Comfortable moving models from research to production, he pairs technical depth (Master’s in Computer Science from Waterloo) with business awareness from an MBA and early consulting experience. Notably, he bridges multimodal AI and explainability work, making complex document AI both accurate and interpretable for end users.
10 years of coding experience
7 years of employment as a software developer
Master of Business Administration (MBA), Database Marketing, Master of Business Administration (MBA), Database Marketing at National Taiwan UniversityMaster's degree, Computer Science, Master's degree, Computer Science at 加拿大滑鐵盧大學University of California Santa CruzBachelor of Arts (BA), Applied Economics, Bachelor of Arts (BA), Applied Economics at National University of Kaohsiung
English, Chinese
Github Skills (39)
nlp10
transformer9
pytorch9
python9
machine-learning9
bert9
natural-language-processing9
tensorflow9
deep-learning9
speech-recognition9
language-model8
jax8
digital-humanities8
transformers8
seq2seq7
Programming languages (2)
Github contributions (5)
h324yang/HMAN
Aug 2019 - Oct 2020
Contributions:8 commits, 20 pushes, 1 branch in 1 year 2 months
thewaytheman/ICE_tools
Oct 2017 - May 2018
Contributions:27 pushes, 1 branch in 6 months
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