Yuelyu J
Applied Scientist at Microsoft
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolYuelyu J is an applied scientist and Information Science PhD candidate at the University of Pittsburgh with eight years of experience building and evaluating retrieval-augmented generation (RAG), multimodal reasoning, and trustworthy AI systems. Her work—published at SIGIR, ACL, and npj Digital Medicine—focuses on reasoning-based knowledge distillation, fairness-aware training, and bias mitigation for clinical AI, and she has translated that research into production experiments at NetEase and AWS to improve user satisfaction through RL-enhanced text generation. At NetEase she helped create the COCO-Music dataset and a Continuous Parameterization approach that balances factuality and emotional style using PPO, a less obvious blend of music-domain data creation and reinforcement learning. Now at Microsoft, she continues to bridge rigorous academic methods with applied engineering to build reliable, equitable multimodal AI, and she is actively seeking collaborations in RAG, multimodal systems, and responsible AI.
8 years of coding experience
2 years of employment as a software developer
Nanjing Agricultural UniversityDoctor of Philosophy - PhD, Information Science, Doctor of Philosophy - PhD, Information Science at University of Pittsburgh
Github Skills (17)
post-training7
alpaca6
language-model6
lora5
few-shot-learning5
huggingface5
transformers4
pytorch4
chatgpt4
fine-tuning4
backend4
rlhf3
prompt2
sequence-labeling2
peft2
Programming languages (3)
Github contributions (5)
JoyDajunSpaceCraft/YuelyuJi.github.io
Jun 2023 - May 2025
A beautiful, simple, clean, and responsive Jekyll theme for academics
Contributions:36 pushes, 1 branch in 1 year 11 months
JoyDajunSpaceCraft/Leetcode_2024_summer
May 2024 - Sep 2024
Contributions:127 pushes, 1 branch in 4 months
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