Junyi Gao (高峻逸)

junyii.gao AT gmail DOT com

PhD Student

University of Illinois Urbana-Champaign


I’m a PhD student in University of Illinois Urbana-Champaign. My advisor is Prof. Jimeng Sun.

My work focuses on developing machine learning and deep learning models to solve real world healthcare challenges. My passion for data science stems from my faith in technology to tackle practical problems. I hope my research can improve equity in healthcare.


  • Our spatial-temporal graph neural network model STAN for COVID-19 pandemic prediction was accepted by JAMIA!
  • Our transfer learning model CovidCare for prognosis of COVID-19 patients was accepted by WWW 2021!
  • Our paper AdaCare and project Dr. Vis were covered by CCTV-1 news!

Research Interests

  • Artificial Intelligence
  • Data Mining
  • Healthcare


  • PhD Student in Computer Science, 2020 - Present

    University of Illinois Urbana-Champaign

  • Bachelor of Engineering in Software Engineering, 2015 - 2019

    Honored Graduate

    Beihang University



Machine learning researcher intern

Analytics Center of Excellence, IQVIA

May 2019 – Feb 2021 Beijing Advisor: Dr. Cao Xiao
My research includes:

  • Deep computational phenotyping (e.g., medical embedding, disease/risk prediction)
  • Patient trial matching

Research assistant intern

Software Engineering Insisute, Peking University

Jan 2017 – Aug 2020 Beijing Advisor: Prof. Yasha Wang
My research includes:

  • Deep computational phenotyping
  • Interpretable predictive models for healthcare


Application Projects

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


  • A method and device of determining potentially important information of patients, CN 202010946290.4, (Under verification)
  • A method and system for sound wave and image-based food volume measurement on smart phone, CN 202010862933.7, (Under verification)

Talks & Media coverage


  • Honored Graduate of Beihang University
  • 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)


I have served as a teaching assistant for the following courses at Beihang University:

  • Technical Writing for Graduate, Fall & Spring 2018
  • Program Design, Summer 2017


(2020). Software Engineering, 10th. People Post Press. [In press]

(2019). New Perspectives on Computer Concepts 2018: Comprehensive, 20th. China Machine Press.


(2019). Computer science: an overview, 12th. People Post Press.