Junyi Gao (高峻逸)

junyii.gao AT gmail DOT com

PhD Student


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.


  • 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!


  • 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



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


* for equal contributions
+ for corresponding author

(2022). The United States COVID-19 Forecast Hub dataset. Nature Scientific Data.

PDF Code Dataset DOI

Application Projects


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


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


  • 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.