Avatar

Junyi Gao (高峻逸)

junyii.gao AT gmail DOT com

PhD 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 individual-level clinical predictions, population-level spatio-temporal epidemiology predictions, clinical trial optimizations and medical foundation models. I also work on developing toolkits and platforms for medical researchers and clinical practice usage.

News

  • I gave a talk about Real-World Knowledge-Infused Pandemic Prediction (Chinese) in the Health Data Science seminar. Thank Peking University and Health Data Science journal for the invitation.
  • I'm honored to be selected as a recipient of the Reviewer Award of AMIA!
  • Our proposal for KDD'24 workshop has been accepted. The workshop topic is "Artificial Intelligence and Data Science for Healthcare:Bridqing Data-Centric AI and People-Centric Healthcare". Looking forward to seeing interested researchers in Barcelona!

Education

  • PhD Student, 2022 - Present

    Funded by the HDR UK-Turing Wellcome PhD Programme

    University of Edinburgh

  • Master of Computer Science (Transferred from the PhD program), 2020 - 2022

    University of Illinois at Urbana-Champaign

  • Bachelor of Engineering in Software Engineering, 2015 - 2019

    Honored Graduate

    Beihang University

Experience

 
 
 
 
 

Research assistant

University of Illinois at Urbana-Champaign

Aug 2020 – May 2022 IL, United States Advisor: Prof. Jimeng Sun
Individual-level clinical predictions and populatio-level spatio-temporal epidemiology predictions
 
 
 
 
 

Machine learning research intern

Analytics Center of Excellence, IQVIA

May 2019 – Dec 2023 Beijing, China Advisor: Dr. Cao Xiao, Prof. Jimeng Sun
Clinical trial optimizations and spatio-temporal predictions
 
 
 
 
 

Research assistant

Software Engineering Insisute, Peking University

Jan 2017 – Aug 2020 Beijing, China Advisor: Prof. Yasha Wang
Deep computational phenotyping and developing interpretable predictive models for healthcare

Publications

* for equal contributions
+ for corresponding author

Junyi Gao*, Yinghao Zhu*, Wenqing Wang*, Zixiang Wang, Guiying Dong, Wen Tang, Hao Wang, Yasha Wang, Ewen M. Harrison, Liantao Ma (2024). A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care. Patterns.

PDF Code Project

Liantao Ma*, Chaohe Zhang*, Junyi Gao*+, Xianfeng Jiao, Zhihao Yu, Yinghao Zhu, Tianlong Wang, Xinyu Ma, Yasha Wang, Wen Tang, Xinju Zhao, Wenjie Ruan, and Tao Wang (2023). Mortality Prediction with Adaptive Feature Importance Recalibration for Peritoneal Dialysis Patients. Patterns. [Cover Paper]

PDF Code Dataset Slides DOI

Chaoqi Yang, Junyi Gao, Lucas Glass, Adam Cross, Jimeng Sun (2023). Multi-Faceted Analysis and Prediction for the Outbreak of Pediatric Respiratory Syncytial Virus. JAMIA.

PDF Code DOI

Junyi Gao, Joerg Heintz, Christina Mack, Lucas Glass, Adam Cross, Jimeng Sun (2023). Evidence-Driven Spatio-Temporal COVID-19 Hospitalization Prediction with Ising Dynamics. Nature Communications.

PDF Code DOI

Junyi Gao, Yinghao Zhu, Wenqing Wang, Yasha Wang, Wen Tang, Liantao Ma (2023). A Comprehensive Benchmark For COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care. AMIA. [Abstract, Oral]

PDF Code Slides

Chaoqi Yang*, Zhenbang Wu*, Patrick Jiang, Zhen Lin, Junyi Gao, Benjamin Danek, Jimeng Sun (2023). PyHealth: A Deep Learning Toolkit For Healthcare Applications. KDD. [Tutorial]

PDF Code Project Video DOI

Estee Y. Cramer, et al. [US COVID-19 Forecast Hub Consortium, including Junyi Gao] (2022). The United States COVID-19 Forecast Hub dataset. Nature Scientific Data.

PDF Code Dataset DOI

Junyi Gao, Chaoqi Yang, George Heintz, Scott Barrows, Elise Albers, Mary Stapel, Sara Warfield, Adam Cross, Jimeng Sun (2022). MedML: Fusing Medical Knowledge and Machine Learning Models for Early Pediatric COVID-19 Hospitalization and Severity Prediction. Cell iScience.

PDF Code Video DOI

Junyi Gao, Cao Xiao, Lucas Glass, Jimeng Sun (2022). PopNet: Real-Time Population-Level Disease Prediction with Data Latency. WWW.

PDF Code

Junyi Gao, Rakshith Sharma, Cheng Qian, Lucas M. Glass, Jeffrey Spaeder, Justin Romberg, Jimeng Sun, Cao Xiao (2021). STAN: Spatio-Temporal Attention Network for Pandemic Prediction Using Real World Evidence. JAMIA.

PDF Code DOI

See all publications

Application Projects

PyHealth

A Deep Learning Toolkit For Healthcare Applications

Vaccine Hero

Machine Learning Powered Mobile HealthCare Unit for Addressing Childhood Vaccination Disparities

Dr. Vis

A visualization tool to help clinicians identify risky patients and cohorts

Healthcare platform for chronic diseases

A healthcare management platform that can automatically recognize food intake and lab test report

MUSEFood

Estimate food and nutrition intake by taking photos using your smartphone

Media coverage & Professional service

Awards & Grants

  • OpenAI researcher grant (PI), 2024 - 2025
  • Reviewer Award, AMIA 2024
  • 3rd prize, Predicting High Risk Breast Cancer: a Nightingale OS & AHLI data challenge (Top 3 out of all teams)
  • HDRUK-Wellcome PhD Funding (~£100,000)
  • 3rd prize, Big Ten Augmented Intelligence Bowl (Top 3 out of all teams from US universities)
  • Honored Graduate of Beihang University
  • AAAI 2020 Student Travel Award
  • 2018 MCM/ICM Meritorious Winner (10%)
  • 2018 Beihang University Science and Technology Competition Scholarship (Top 1%)
  • 2018 Beihang University Academic Excellence Scholarship (Top 5%)
  • 2017 Beihang University Science and Technology Competition Scholarship (Top 1%)
  • 2016 Beihang University Feng Ru Cup Technology Innovation Competition 1st prize (10 out of candidates of all majors)

Academic Services & Misc.

  • Teaching Assistant, Foundations of software development in health and social care, 2024
  • Panel member of HDRUK PhD program recruitment team, 2023
  • Teaching Assistant, HealthR Course, 2023
  • Teaching Assistant, Technical Writing for Graduate, Fall & Spring 2018
  • Teaching Assistant, Program Design, Summer 2017

Patents

  • A method and device of determining potentially important information of patients, CN 202010946290.4, filed Oct 09, 2020.
  • A method and system for sound wave and image-based food volume measurement on smart phone, CN 202010862933.7, filed Aug 25, 2020.