Wanyu Du
Applied Scientist II at Amazon Web Services (AWS)
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolWanyu Du is an applied scientist at Amazon Web Services focused on trustworthy large language models, bringing eight years of research and engineering experience to production ML problems. She completed a Ph.D. in Computer Science at the University of Virginia in 2024, where her research emphasized controllable, efficient, and interactive text generation. Her internships at AWS, Grammarly, and Tencent translated academic ideas into practical systems—ranging from parameter-efficient fine-tuning and data augmentation for LLMs to user edit-intention modeling and dialogue evaluation. Based in Seattle, she combines deep research rigor with hands-on deployment experience, making her adept at bridging prototype algorithms and scalable services. An understated strength is her track record of improving model interactivity and controllability, which informs her current work on trustworthy LLM behaviors.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Bachelor's degree at Dongbei University of Finance and EconomicsDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Virginia
Chinese, English
Github Skills (41)
iterative10
semantic-matching10
stock-price-prediction9
variational-autoencoder9
bart9
text-editing9
roberta9
web-crawler8
reinforcement-learning8
style-transfer8
bert8
natural-language-processing8
similarity8
convolutional-neural-networks8
imitation-learning8
Programming languages (5)
Github contributions (5)
wyu-du/Self-Training-Dialogue-Generation
Oct 2022 - Dec 2022
Contributions:8 commits, 6 pushes, 1 branch in 1 month
wyu-du/ARCII-for-Matching-Natural-Language-Sentences
Jun 2018 - Jun 2019
A simple Keras implementation of ARC-II model proposed by paper "Convolutional Neural Network Architectures for Matching Natural Language Sentences"
Contributions:8 commits, 7 pushes, 1 branch in 11 months
convolutional-neural-networkskerassemantic-matchingkeras-implementationsnatural-language-processing
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