Academic profile
Curriculum Vitae
Ph.D. student in Epidemiology and Health Statistics, School of Public Health, Xiamen University (admitted 2026, supervised by Prof. Tianmu Chen); M.Sc. in Computer Science and Technology, Macau University of Science and Technology; undergraduate training at Xiamen University; interdisciplinary background spanning public health, epidemiology, AI, and data science
orcid.org/my-orcid?orcid=0009-0008-3411-5304 · github.com/Hylouis233 · liuh200107@gmail.com · hylouis@qq.com
01
Academic training and current direction
I am a Ph.D. student in Epidemiology and Health Statistics at the School of Public Health, Xiamen University (admitted 2026, supervised by Prof. Tianmu Chen), and I hold an M.Sc. in Computer Science and Technology from Macau University of Science and Technology. My research focuses on infectious disease forecasting, influenza co-circulation analysis, outbreak modelling, and related research software.
02
Degrees and thesis work
Doctoral research extends toward multimodal infectious disease spatiotemporal dynamics, viral evolution early warning, and integrated macro-micro modelling frameworks.
Completed M.Sc. training in Computer Science and Technology under Academician Nanshan Zhong and Prof. Chitin Hon, with joint training at Xiamen University (co-supervised by Prof. Tianmu Chen), focusing primarily on infectious disease forecasting and early warning. Graduate training emphasized intelligent control technology, artificial intelligence, numerical analysis, statistics, pattern recognition, algorithm theory, and optimization methods.
Academic and project experience during the undergraduate stage laid the groundwork for infectious-disease modelling, health data analysis, and later AI-assisted research workflows. Selected high-mark coursework: Epidemiology, Biostatistics, and Health Statistics.
The completed thesis linked surveillance, environmental, behavioral, and sequence-related evidence while keeping completed work, submitted manuscripts, and future doctoral stages explicitly separated.
03
Topics under active study
04
Grouped by status, most recent first
First-author dual-framework outbreak modelling study for the 2025 Foshan chikungunya outbreak, published in BMC Public Health on 29 June 2026. An arXiv preprint (arXiv:2512.12577) is also openly accessible.
First-author npj Systems Biology and Applications article. Accepted on 17 April 2026 and published online on 04 May 2026.
Co-authored publication listed in the source materials.
Co-authored publication listed in the source materials.
Co-authored publication listed in the source materials.
Co-authored publication listed in the source materials.
Co-authored publication listed in the source materials.
Status: Public preprint; journal submission under review
First-author MAESTRO study. In the documented evaluation context, the reported R² reached 0.956 on a 10-year Hong Kong influenza dataset.
Status: Preprint
Preprint posted on Research Square in April 2024; Ke is the first author and Hong Liu is a contributing co-author (2/10). No published journal version has been identified.
Status: Submitted; with editorial office
Questionnaire-based collaborative study using CFA, SEM, and bootstrap analysis.
Manuscript ID: 251802
05
Code, tooling, and data platforms
Research workflow comparing ODE and Petri Net perspectives for the 2025 Foshan chikungunya outbreak.
Multi-region and multi-window influenza co-circulation analysis and prediction workflows.
Multimodal forecasting framework for respiratory disease activity and early-warning-oriented time-series analysis.
Supplementary codebase for machine learning-based dengue vector Breteau Index prediction.
github.com/Hylouis233/Breteau-Index-Prediction-Model-using-machine-learning
Crawler, database, ETL, and visualization workflow for infectious-disease news collection, monitoring, and research-oriented data support.
No public repository link is shown for this item.
BibTeX validation and metadata completion tool for DOI, author, year, deduplication, and citation normalization workflows.
Team solution and codebase for the Mathematical Contest in Modeling (MCM) 2023 Problem C.
A Baidu Index scraping tool equipped with a graphical user interface (GUI).
Refactored LaTeX templates for the China Graduate Mathematical Contest in Modeling.
06
Selected honors and competition results
Regional First Prize, 15th MathorCup Mathematical Application Challenge (Graduate Division)
China Society for Overall Planning, Optimization and Economic Mathematics
National Third Prize, 15th MathorCup Mathematical Application Challenge (Graduate Division)
China Society for Overall Planning, Optimization and Economic Mathematics
Second Prize, 20th Citibank Financial Innovation Application Competition
Shanghai University Student Science and Technology Entrepreneurship Foundation; Citigroup Financial Information Services (China) Co., Ltd.
Third Prize, 21st China Graduate Mathematical Contest in Modeling (“Huawei Cup”)
China Graduate Mathematical Contest in Modeling Organizing Committee
Project Innovation Award, 13th “Win in Guangzhou” Hong Kong–Macao Division
“Win in Guangzhou” University Entrepreneurship Competition Organizing Committee
07
Research, coursework, and service
Completed coursework in intelligent control technology, artificial intelligence, numerical analysis, statistics, pattern recognition, algorithm theory, and optimization methods, with a cumulative GPA of 3.63/4.
Served as a student staff member in the medical school organization department and later as deputy head in the innovation service division of the student technology, entrepreneurship, and employment service center.
Participated in full-stack development for a P3 laboratory digital twin and risk-assessment workflow involving Unity3D, Python, Flask, MySQL, and scenario simulation.
Supported target-site discovery and primer design workflows using masif_seed, Rosetta, AlphaFold 3, and RFDiffusion.
Independently developed and maintained a platform covering data collection, cleaning, ETL, database ingestion, and visualization for infectious-disease news and event monitoring.
Handled large-scale questionnaire cleaning, CFA, SEM, reliability and validity analysis, and bootstrap-based inference for healthcare workforce research.
Participated in outreach, practice, and volunteer activities including recruitment outreach, public-health themed practice teams, and report writing.
Contributed modelling, optimization, software implementation, and evaluation work in the Huawei Cup, MathorCup, Citibank competition, and related innovation contests.