Yue Zhao
Sr Research Data Engineer
City of Rochester, New York, United States
Summary
👤
Senior🎓
Top SchoolYue Zhao is a Senior Research Data Engineer with nine years of experience applying machine learning, deep learning, and data engineering across biomedical, finance, and geospatial domains. At the University of Rochester she leads NIH-funded efforts building scientific analysis software and data-sharing infrastructure, including a Python app that deploys sleep-stage deep learning models with an interactive feedback interface for neuroscientists. She has a strong track record shipping production-ready Python packages and research-grade models—from UNet segmentation for leukocyte tracking to a Bi-LSTM+CRF clinical concept extractor—and has contributed NLP fixes to the popular flairNLP repository to improve ELMo and long-sentence transformer embeddings. Comfortable bridging research and product, Yue has served as PI on NLP projects, mentored students, and translated domain needs into usable tools and proposals. Her unusual blend of hands-on model engineering, UI-driven tooling, and experience with both academic publishing and client-facing delivery makes her effective at moving complex research into practical, reproducible systems.
9 years of coding experience
7 years of employment as a software developer
Applied Mathematics, Applied Mathematics at University of Wisconsin-MadisonMaster of Science - MS Data Science, Master of Science - MS Data Science at University of Rochester
Github Skills (5)
pytorch10
machine-learning10
nlp10
python10
natural-language-processing10
Programming languages (1)
Github contributions (5)
flairNLP/flair
Jun 2020 - Jun 2020
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Role in this project:
ML Engineer
ML EngineerContributions:5 commits, 1 PR, 8 comments in 4 days
Contributions summary:Yue primarily focused on fixing issues and improving the ELMoEmbeddings within the flairnlp/flair repository. Their work involved resolving problems related to lambda functions and ensuring backward compatibility for the ELMo embeddings. Additionally, the user contributed to the TransformerWordEmbeddings, incorporating modifications to handle long sentences and the associated tokenization processes. These changes suggest a focus on improving the framework's ability to handle complex natural language processing tasks.
nlppytorchnamed-entity-recognitionartsemantic-role-labeling
yzhaoinuw/BrainFlowZZZ_metadata_wizard
May 2023 - May 2024
Contributions:2 releases, 7 pushes, 1 branch in 11 months
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