Professional narrative
I use models to make assumptions discussable: how people move through infrastructure, how uncertainty changes a decision, how spatial processes generate patterns, and how students learn to move from an open question to a reproducible argument.
The public website curates manually reviewed explanations and approved figures. Code, notebooks, calculations, and reproduction notes remain in a private technical workspace so the publishing layer does not expose unfinished research material.
Teaching and mentoring
My teaching emphasizes problem formulation, baseline models, units, computational checks, sensitivity analysis, and honest limitations. Competition cases can be valuable, but they are treated as practice in reasoning rather than automatic evidence of publication or deployment.
A recent mentoring outcome is a student-team paper listed as Paper ID 7 in the AI4Nature@AVSS 2026 oral programme, where I am also listed as a co-author.
ADMA 2026: guiding student research into an accepted conference paper
I am the research mentor and corresponding author of When Solar Power Changes Fast: A Multi-Site Audit of Prediction-Interval Reliability under Ramp Events and Sensor Degradation, written with three secondary-school student co-authors. The authors, in formal order, are Hong U Lo, Zibo Gao, Peng Chi Lam, and Sok Kin Cheng, affiliated with St. Joseph Diocesan College (The Fifth School), Macao SAR, China.
Using public energy data and five confirmation stations, the study asks whether prediction intervals remain reliable when solar generation changes rapidly or sensor inputs degrade. It is a concrete example of the student research I support: developing a practical question into a computational study and a research manuscript, with careful evaluation and clear limitations rather than only positive results.
The ADMA 2026 Research Track accepted the work as a Short Paper on 3 September 2026; the camera-ready was submitted on 9 September 2026. The conference is scheduled for 13–15 November 2026 in Hong Kong; proceedings details remain to be confirmed.
Read the research story · Project and results · Student research pathway
CV summary
Current focus: secondary mathematics education; mathematical modeling; computational experiments; teaching resources; student research mentoring.
Methods used across the repositories: differential equations, numerical analysis, network models, optimization, stochastic simulation, sensitivity analysis, Python, C++, and notebooks.
This web summary intentionally omits affiliations, awards, publications, and credentials that are not confirmed by the research record. For a current formal CV, please request it by email.