Ph.D. candidate
University of Canberra, Australia | ARC Training Centre in Plant Biosecurity.
Ph.D. in Science (Quantitative Ecology), University of Canberra, Australia (Jul. 2025 - present).
B.Eng. in Computer Science and Technology, Nanfang College of Sun Yat-sen University in Guangzhou, China (Sep. 2018 - Jul. 2022).
His research focuses on developing useful tools that help humans make better decisions in different areas (healthcare, public health, and biosecurity) and exploring potential relationships between massive data. Relevant areas include but are not limited to: Data mining, Quantitative ecology, and Computational epidemiology.
Ensuring pest-free areas is vital for trade, requiring robust, statistically supported evidence. This involves integrating large datasets from government, industry, and community surveillance, leveraging advanced computational techniques to support biosecurity market access, and optimizing surveillance strategies. This project aims to create a comprehensive catalog of forest pest surveillance and diagnostic data collected through targeted and general biosecurity efforts at the regional and national levels. The primary objectives are to assess the suitability of these data for biosecurity purposes and explore how they can be integrated and analyzed to achieve the following outcomes: 1) Provide statistical measures of pest area freedom. 2) Identify where surveillance or diagnostic data could guide areas for improvement in biosecurity systems.
Data-Driven Models for Epidemic Prediction, Prevention, and Intervention Evaluation
Infectious disease prevention and control, and prediction face challenges such as diverse data sources, incomplete data, and complex systems. To effectively respond to the epidemic, it is necessary to integrate multi-source data and adopt a variety of modeling and analysis methods to achieve prevention, prediction, and intervention of the epidemic. This research framework aims to enhance the understanding and control of epidemic spread through the integration of databases, statistical and machine learning modeling, dynamic system prediction, and the evaluation of intervention effects. This framework is not only suitable for analyzing high-uncertainty time series data but can also be extended to other complex systems that require real-time modeling.
University of Canberra, Australia
Ph.D. Student, Jul. 2025 - present
Supervisor: Prof. Richard Duncan, Prof. Bernd Gruber, and Dr. Elle Saber.
Advisor: Dr. Angus Carnegie, Dr. Helen Nahrung, and Ms. Jodie Mason.
Casual Academic, Aug. 2026 - present
Computer Lab, Data Analysis Skills for Science (11723), Semester 2, 2026
City University of Hong Kong, China, Research Assistant, Dec. 2022 - Jul. 2024
Supervisor: Dr. Eric Wong and Dr. Sean Yuan.
Huangpu Institute of Materials, China
Algorithm Technician, Jun. 2022 - Nov. 2022
Intern, Mar. 2022 - Jun. 2022
Supervisor: Dr. Feng Ye.
Nanfang College of Sun Yat-sen University, Guangzhou, China, Research Assistant, Mar. 2019 - Mar. 2022
Supervisor: Dr. Choujun Zhan; Advisor: Prof. Haijuan Zhang and Prof. Guanrong Chen.
Principal Investigator
"Bio-SORT: Biosecurity Sample Optical Recognition and Triage", Innovation Ignition Grants, ARC Training Centre in Plant Biosecurity, Australia (19,800 AUD), 2026-2027.
"Box office forecasting based on big data and deep learning" Provincial College Students' Innovative Entrepreneurial Training Plan Program, China (10,000 CNY), 2019 - 2020.
Co-Investigator
"E-business strategy mining based on big data and machine learning" Provincial College Students' Innovative Entrepreneurial Training Plan Program, China (10,000 CNY), 2020 - 2021.
"Solar radiation estimation system based on hours of sunshine and Planck's law" Provincial College Students' Innovative Entrepreneurial Training Plan Program, China (10,000 CNY), 2019 - 2020.
Award
2025 - 2029, ARC Industrial Transformation Training Centre (ITTC) – Centre for Plant Biosecurity Scholarship, Australia (40,000 AUD stipend and 10,000 AUD research funding per year and 6,000 AUD travel costs).
2022, Outstanding Graduates of NanFang College of Sun Yat-Sen University, China.
2019 - 2020, National Scholarship, China.
2019, Merit award conference paper in the 2019 IEEE International Symposium on Product Compliance Engineering-Asia, China.
Talk
Oct. 2026, "Modelling invasive insect spread with citizen science data: A dynamic occupancy-detection model" at the Research in Progress Seminar by the ARC Training Centre in Plant Biosecurity (Australia).
Sep. 2026, "Epidemiology-informed Graph Neural Network for Heterogeneity-aware Epidemic Forecasting" at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - ECML PKDD, 2026 (Naples, Italy).
Nov. 2025, "Data Driven Decision Model for Forest Biosecurity" at ERTH 2025 (Canberra, Australia).
Oct. 2019, "Movie box office prediction based on ensemble learning" at ISPCE-CN 2019 (Hong Kong, China).