Academic profile
Curriculum Vitae
Incoming Ph.D. student in Epidemiology and Health Statistics, School of Public Health, Xiamen University (starting September 2026, supervised by Prof. Tianmu Chen); M.Sc. in Intelligent Technology, Macau University of Science and Technology (2024–2026); B.Med. in Preventive Medicine with a minor in Statistics, Xiamen University (2019–2024)
orcid.org/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 Intelligent Technology from Macau University of Science and Technology. My research focuses on infectious-disease forecasting, influenza co-circulation analysis, mechanistic 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 Intelligent Technology at MUST, under Academician Nanshan Zhong and Prof. Chitin Hon. Joint doctoral-stage research training at Xiamen University with Prof. Tianmu Chen, focused on infectious-disease forecasting and early warning. Graduate coursework covered intelligent control technology, fundamentals of AI, numerical analysis, statistics, pattern recognition, algorithms, 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.
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.
Status: Public preprint; journal submission under review
First-author MAESTRO study; reports R² = 0.956 on over 11 years of Hong Kong influenza data (excluding COVID-19).
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.
05
Code, tooling, and data platforms
ODE and Petri Net dual-model research workflow for the 2025 Foshan chikungunya outbreak, published in BMC Public Health 26 (2026).
Multi-region and multi-window influenza co-circulation analysis workflow, published in npj Systems Biology and Applications (2026).
Multimodal time-series forecasting framework for respiratory disease activity and early-warning scenarios, reporting R² = 0.956 on over 11 years of Hong Kong influenza data (excluding COVID-19).
Supplementary codebase for the Fujian dengue-vector Breteau Index prediction study, published as a Research Square preprint.
github.com/Hylouis233/Breteau-Index-Prediction-Model-using-machine-learning
Crawler, database, ETL, and visualization stack for infectious-disease news collection, monitoring, and research support. Includes public and private components.
No public repository link is shown for this item.
Cross-platform BibTeX verification and metadata-completion tool for researchers and AI assistants. CLI, Python API, MCP server, and explainable multi-source matching. Published on PyPI.
Team solution and codebase for the 2023 Mathematical Contest in Modeling (MCM) Problem C.
GUI-equipped Baidu Index scraping tool for data collection workflows.
Refactored LaTeX template for the China Graduate Mathematical Contest in Modeling (Huawei Cup).
Crawler for the Public Health Science Data Center (phsciencedata.cn) regional and age-stratified disease datasets.
Static deployment of the public EPIC dashboard for infectious-disease situational awareness.
Evidence-first research workflow harness with six plugins (science-core / science-compute / science-data / science-epi / science-literature / science-verify), human-gated research stages, and append-only provenance logs.
Mainland China-first legal workflow plugin pack for Claude Code (contract review, litigation support, compliance, corporate, labor, IP) with statute checks and citation gates.
Local-first research harness for building, benchmarking, and improving auditable outbreak-intelligence agents under deterministic public-health safety constraints (fail-closed publication, evidence binding, no autonomous approval).
Reproducible, auditable viral-outbreak research workspace (Hantavirus, Ebola) with DVC + Snakemake + MLflow ResearchOps and data-provenance grading.
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.