SUMMARY

I am an PhD student in Epidemiology and Biostatistics with a comprehensive skill set that spans public health, data science, and full-stack software and hardware engineering. My fervor for public health is matched by my proficiency in leveraging AI and machine learning to dissect complex health data, as well as my capability to architect and maintain robust software and hardware solutions.

My research focuses on epidemiology of infectious diseases, evaluating vaccine effectiveness, and assessing health policies. I am currently developing a global infectious disease surveillance system that incorporates data from various countries. Additionally, I am involved in a project aimed at examining the global resurgence of pertussis, analyzing contributing factors, and proposing strategies to mitigate this resurgence.

EDUCATION

  • PhD student in Epidemiology and Biostatistics
    School of Public Health, Xiamen University
    Sep. 2023 – Jun. 2027 (expected)
    Xiamen, China
  • Master of Public Health (minor)
    School of Public Health, Xiamen University
    Sep. 2021 – Aug. 2023
    Xiamen, China
    Note: Part of the PhD-Direct program1
  • Bachelor of Medicine in Preventive Medicine
    Public Health School, Fujian Medical University
    Sep. 2016 – Jun. 2021
    Fuzhou, China

PUBLICATIONS & MANUSCRIPTS

Peer-Reviewed Articles

  • Li, K., Rui, J., Song, W. et al. Temporal shifts in 24 notifiable infectious diseases in China before and during the COVID-19 pandemic. Nat Commun 15, 3891 (2024). https://doi.org/10.1038/s41467-024-48201-8
  • Ye, W., Li, K., Zhao, Z. et al. Inactivated vaccine effectiveness against symptomatic COVID-19 in Fujian, China during the Omicron BA.2 outbreak. Frontiers in public health, 11, 1269194 (2023). https://doi.org/10.3389/fpubh.2023.1269194
  • Li, K., Wang, J., Xie, J. et al. Advancements in Defining and Estimating the Reproduction Number in Infectious Disease Epidemiology. China CDC weekly, 5(37), 829–834 (2023). https://doi.org/10.46234/ccdcw2023.158
  • Li, K., Ruan, F., Zhao, Z. et al. Comparative analysis of transmission and vaccine effectiveness in Omicron and Delta variant outbreaks in China. The Journal of infection, 86(1), 66–117 (2022). https://doi.org/10.1016/j.jinf.2022.08.018
  • Li, K., Wang, D., Qu, H. et al. Viral dynamics of omicron BA.2.76 variant of SARS-CoV-2 in a cohort of COVID-19 patients. The Journal of infection, 86(2), 154–225 (2022). https://doi.org/10.1016/j.jinf.2022.11.027
  • Li, K., Zhao, Z., Wei, H. et al. Feasibility of Booster Vaccination in High-Risk Populations for Controlling Coronavirus Variants - China, 2021. China CDC weekly, 3(50), 1071–1074 (2021). https://doi.org/10.46234/ccdcw2021.259

For a comprehensive list of my publications, please visit My Google Scholar Profile.

Manuscripts in Preprint or Under Review

  • Li, K., Zhang R., Song W. et al. Vaccination strategic prioritization to control pertussis resurgence (Under Review)

ACADEMIC ACHIEVEMENTS

  • 2024: Excellent student of Xiamen University, awarded to top 1% of students in the School of Public Health each year.
  • 2023: Awarded the Academic Standout of Xiangan Campus, Xiamen University for exceptional academic performance and research contributions.
  • 2023: Recipient of the Yanan Scholarship, Xiamen University, awarded to top 2 students in the School of Public Health each year.
  • 2022: National Scholarship of China, a highly competitive scholarship awarded to students demonstrating outstanding academic and research excellence.
  • 2022: Saifu Medical & Pharmaceutical Scholarship for significant contributions to medical and pharmaceutical research.
  • 2022: Designated as an Excellent Merit Student of Xiamen University for leadership in academic and extracurricular activities.

SKILLS

  • Statistical Analysis & Data Science: R, Python, SPSS, data visualization (ggplot2), machine learning, time series analysis.
  • Database Management: Proficient in SQL, MySQL.
  • Web Development & Design: HTML, CSS, JavaScript, HUGO, Nginx.
  • Version Control & Collaboration: Proficient with Git for version control and collaborative projects.
  • Server & Network Administration: Experience with Windows and Linux server administration, network configuration, and security.

PROJECTS

  • Global infectious disease surveillance: Developed a real-time dashboard to monitor global infectious disease outbreaks.
    • Lead developer and maintainer
    • Tech: Developed with Python and API, and managed with Github Action, and hosted on Cloudflare.
    • The dashboard is available at https://globalinfectiousdisease.com/.
    • Only supported China, and scheduled to expand to other countries, such as the US, UK, AU, and Thailand.
  • Website of Research Team: Epidemiology research group’s website, showcasing our team’s work and publications.
    • Lead developer and maintainer
    • Developed using HUGO and served by Nginx. GitHub is used for version control.
    • The website is available at https://www.ctmodelling.cn/.
  • Epidemiologist Toolbox: A suite of tools for epidemiologists, including risk calculators and epidemic curve generators.
    • Sole developer and maintainer
    • Utilized R Shiny for development and ShinyProxy for serving the applications. Docker was used for building and deploying, and frp for port mapping.
    • The website is accessible at https://toolbox.ctmodelling.cn/.
  • AI Toolbox: A private website of AI tools for internal use, facilitating research tasks such as data analysis and manuscript translation.
    • Docker is used to deploy and maintain the tools.
  • Internal Research Tools: A collection of tools including RStudio Server and GitLab to support the research team’s collaboration and data analysis efforts.
    • Using PVE and virtual machine to deploy and maintain the tools.

REFERENCE

[1] PhD-Direct Program: An accelerated pathway for master’s degree students to pursue a PhD without the need for a separate application process, emphasizing a seamless academic transition and rigorous research training.

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