Junyi Gao (高峻逸)
junyii.gao AT gmail DOT comPhD Student
Biography
I’m a PhD student at the University of Edinburgh funded by the HDR UK-Turing Wellcome PhD Programme supervised by Prof. Ewen Harrison. Previously, I was a PhD student at the University of Illinois at Urbana-Champaign supervised by Prof. Jimeng Sun. Before UIUC, I worked closely with Prof. Yasha Wang and Dr. Liantao Ma at Peking University as a research assistant.
My research focuses on deep-based clinical predictive modeling with electronic health record (EHR) data, population-level spatio-temporal healthcare predictions and clinical trial optimizations.
News
- Our paper Multi-Faceted Analysis and Prediction for the Outbreak of Pediatric Respiratory Syncytial Virus is accepted in JAMIA! In this work, we use multi-source data and leverage the tensor methods to uncover distinct RSV geographic clusters and develop an accurate RSV prediction model for future seasons.
- Our paper HOIST is accepted in Nature Communications! In this work, we use statistical mechanics law to guide the deep learning model for more accurate population-level COVID-19 hospitalization predictions.
- Our tutorial for the PyHealth toolkit is accepted in the KDD 2023!
Research Interests
- Artificial Intelligence
- Data Mining
- Healthcare
Education
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PhD Student, 2022 - Present
Funded by the HDR UK-Turing Wellcome PhD Programme
University of Edinburgh
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Master of Computer Science (Transferred from the PhD program), 2020 - 2022
University of Illinois at Urbana-Champaign
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Bachelor of Engineering in Software Engineering, 2015 - 2019
Honored Graduate
Beihang University
