• I am a PhD candidate in Computer Science at Virginia Tech since August 2022, advised by Prof. Eugenia Rho. I received my Master's degree in Biostatistics from Southern Medical University in Guangzhou, China in 2017, advised by Prof. Pingyan Chen. I am broadly interested in natural language processing (NLP) and computational social science, with a focus on human-computer interaction (HCI) in developing and evaluating an interactive AI system to assist people. I have also conducted research on epidemiology and public health, including pandemic surveillance, risk assessment, transmission modeling, and field investigations.

  • R: 10+ years of experience

  • Python: 10+ years of experience

  • PyTorch: 3+ years of experience

  • HuggingFace: 2+ years of experience

  • SQL: 5+ years of experience

  • PHP: The best programming language in the world!

  • JavaScript: 5+ years of experience

  • Vue: 1+ year of experience



  1. PhD Candidate in Computer Science

    Virginia Tech
    Aug 2022 ➔ Present
  2. Master of Medicine in Biostatistics

    Southern Medical University
    Sep 2014 ➔ Jul 2017
  3. Bachelor of Science in Applied Statistics

    Southern Medical University
    Sep 2010 ➔ Jul 2014


  1. Assistant Research Fellow

    Guizhou Center for Disease Control and Prevention
    Nov 2019 ➔ Jul 2022
    • Epidemic Surveillance: Collected and analyzed weekly epidemic surveillance data on COVID-19, unexplained pneumonia, and avian influenza for over 3.8 million people to monitor their intensity, detect transmission changes, and measure their impacts on hospitalizations and deaths
    • Pandemic Risk Assessment: Assessed the risks of possible pandemic outbreaks using data-driven models and scenarios and determined the appropriate public health response level and steps for different regions and populations
    • Field Epidemiology: Conducted field epidemiological investigations on over 100 cases of COVID-19, flu, avian influenza, and chickenpox to trace and test over 1000 contacts and control transmissions
    • Epidemic Modeling: Analyzed epidemiologic characteristics of various epidemics using statistical or computer simulation models to unravel transmission dynamics and evaluate intervention strategies
    • Health Education: Hosted over 5 health education and assessment workshops and activities on COVID-19 prevention for various groups and settings
    • Data collection
    • Data Analysis
    • Modeling
    • Simulation
    • Visualization
    • Decision Making
  2. Software Engineer

    Contract Research Organization of CLT Inc
    Jul 2017 ➔ Jun 2019
    • Web Development: Served as the chief programmer for the Central Randomization System and Electronic Data Capture System using web development technologies such as HTML, CSS, JavaScript, PHP, and MySQL
    • Central Randomization System: Developed the Central Randomization System, a web-based application used in over 20 multi-center clinical trials, to implement drug management, user management, and algorithms for allocation concealment
    • Electronic Data Capture System: Created the Electronic Data Capture System, a web-based SaaS that stored patient data collected in clinical trials, to increase real-time access to data and decrease time spent on query management
    • Web Development
    • Software Testing
    • Database Management
  3. Research Intern

    National Clinical Research Center for Kidney Disease
    Nov 2015 ➔ Feb 2017
    • Cohort Study Development: Deployed a web-based application for a cohort study of chronic kidney disease patients
    • Case Report Form Design: Participated in the design of case report forms for data collection and management for the cohort study
    • Cohort Study
    • Study Design
    • Statistics Analysis


Epidemiologic Characteristics of COVID-19 in Guizhou Province, China


Kaike Ping, Mingyu Lei, Yun Gou, Zhongfa Tao, Guanghai Yao, Can Hu, Qin Tao, Zhiting Zou, Dingming Wang, Shijun Li, and Yan Huang

The Journal of Infection in Developing Countries

A New Preprocedure Risk Score for Predicting Contrast-Induced Acute Kidney Injury


Chongyang Duan, Yingshu Cao, Yong Liu, Lizhi Zhou, Kaike Ping, Ming T. Tan, Ning Tan, Jiyan Chen, and Pingyan Chen

Canadian Journal of Cardiology

Initial Clinical Characteristics of 146 Patients with COVID-19 Reported in Guizhou Province, China: A Survival Analysis


Yun Gou, Ping, Kaike, Mingyu Lei, Chun Yu, Ying Tao, Can Hu, Zhongfa Tao, Zhiting Zou, Weijia Jiang, Shijun Li, Li Zhuang, Zhaobin Liu, and Yan Huang

The Journal of Infection in Developing Countries

Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth


Adi L. Tarca, Bálint Ármin Pataki, Roberto Romero, The DREAM Preterm Birth Prediction Challenge Consortium (including Kaike Ping), etc.

Cell Reports Medicine

Cervical Rotatory Manipulation Decreases Uniaxial Tensile Properties of Rabbit Atherosclerotic Internal Carotid Artery


Shaoqun Zhang, Ji Qi, Lei Zhang, Chao Chen, Shubhro Mondal, Kaike Ping, Yili Chen, and Yikai Li

Evidence-Based Complementary and Alternative Medicine