Yang Ren
Applied Scientist II at Amazon
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolYang Ren is an applied scientist with 8 years of ML and deep learning experience, currently at Amazon after a postdoctoral appointment at Yale School of Medicine focused on clinical NLP and LLMs. He builds end-to-end, production-ready ML and LLM systems—specializing in transformer models, RAG, LoRA/QLoRA fine-tuning, distributed training, and scalable inference pipelines. His research background spans healthcare-focused predictive modeling and NLP for clinical and public-health datasets, including work on neonatal outcomes, COVID-19 severity prediction, and substance-use communications on social media. Comfortable moving models from experimentation to deployment, he pairs rigorous academic training (PhD in Computer Science) with hands-on engineering in Python, PyTorch, and TensorFlow. Based in Seattle, he’s driven by translating LLM innovation into reliable decision-support tools that address real-world clinical and operational problems.
8 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Northwestern Polytechnical UniversityPostdoctoral Training, Clinical NLP & LLMs, Postdoctoral Training, Clinical NLP & LLMs at Yale School of MedicineDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of South CarolinaMaster of Science - MS, Management Information Systems and Services, Master of Science - MS, Management Information Systems and Services at Stevens Institute of TechnologyProgramming languages (2)
Github contributions (5)
softsys4ai/perfBugMiner
May 2018 - Aug 2018
Contributions:75 commits, 83 pushes, 12 branches in 3 months
kevinren12138/CSCE590-001
Sep 2021 - Dec 2021
Contributions:9 pushes, 1 branch in 3 months
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