PhD Student in Physics
Nanyang Technological University
I am a PhD student in Physics at Nanyang Technological University (NTU). My research interests are sociophysics, econophysics, and stochastic modelling.
My background includes academic research, applied quantitative work, and system building. I have published peer-reviewed work in quantitative finance and decision modeling. During my time as a visiting scholar, I worked on financial risk modeling and derived an analytic solution to a stochastic model that had previously been treated numerically. I also have experience using NLP and large language models as tools in data processing and analysis.
Much of my current work is ongoing or exploratory. Some projects are incomplete because the core idea has been implemented or tested and I moved on to other problems.
Outside of formal research, I work on side projects, including distributed algorithms for topological invariants, visualization of sociophysics models, game modding using physical input devices, and building technical infrastructure for academic events. I currently serve as Publicity Chair for the Asia-Pacific Summer School and Conference on Networks and Complex Systems and maintain the conference website.
This website is a living notebook of projects, experiments, and ideas, some complete, some in progress, some abandoned for good reasons. It is not a resume of outcomes, but a record of how I think, build, and explore.
A framework that places voters and parties in a shared policy space by combining LLM paraphrasing (Llama 3.1) with a manifesto classifier (ManifestoBERTa). Applied to European Social Survey data across eight countries, the method reveals that the dominant dimension of electoral competition rotated from economic–social to economic–immigration during the European refugee crisis. Presented at APCNCS2026.
Working paper developed during my visiting scholarship, proposing a stochastic framework for estimating default risk under climate-policy shocks.
HKIMR Working Paper →A scalable implementation of the Mayer–Vietoris approach for computing Betti numbers on large networks, extending and improving upon existing work. My implementation uses MPI-based memory distribution, enabling significantly larger problem sizes. Code available upon request.
Reference paper (arXiv) →Lie-algebraic formulation and extensions of multi-alternative decision models, with published results.
GitHub →An ongoing exploration of physics-informed visualization using CFD. One example models heat convection and conduction in Hong Kong–style BBQ sausages using OpenFOAM, including attempts to incorporate rotational dynamics. Computational cost is currently the main limitation; I am exploring migration to CUDA-based solvers.
Animations →A web app that finds the fairest meeting point in Hong Kong by minimizing median travel time across all participants. It builds a transit graph from ~15k bus/MTR stops and ~3.8k routes, runs Dijkstra's algorithm for transit routing, queries Google Distance Matrix for drivers, and suggests nearby restaurants at the optimal location.
Live App →A Rust CLI that lets coding agents (and humans) browse a local Zotero research library directly from the terminal. It reads the Zotero SQLite database in read-only mode, supporting collection browsing, paper search, metadata display, and PDF export. Output formats include table, JSON, and plain text. Also integrates as a Claude Code skill for agent-driven literature review workflows.
GitHub →A C# mod for Jump King that replaces keyboard input with real-world squats, using a physical device to control jump mechanics. The project explores embodied interaction and the translation of precise virtual mechanics into physical movement. Gameplay polish remains ongoing.
Serving as Publicity Chair, I maintain the conference website and coordinate outreach for this international event on networks and complex systems.
Conference Website →
A campus-scale (~130 participants) competitive event endorsed by the World Rock Paper Scissors Association, with PS4 and Nintendo Switch as prizes. As Director, I designed the competition structure, formalized rules, managed logistics and budgeting, coordinated venues, and oversaw all aspects of execution. The final event was featured as a main activity of the CUHK Art Fair 2018.
Ip, H. Y., Lo, C. F., & Hui, C. H. (2025). Stochastic Cooperation Model for Measuring Firms’ Default Probabilities: An Application to Climate Transition Risk. Hong Kong Institute for Monetary and Financial Research (HKIMR) Research Paper, No. 02/2025.
Hui, C. H., Lo, C. F., & Ip, H. Y. (2022). Modelling asymmetric unemployment dynamics: The logarithmic-harmonic potential approach. Entropy, 24(3), 400.
Lo, C. F., & Ip, H. Y. (2021). Modified leaky competing accumulator model of decision making with multiple alternatives: the Lie-algebraic approach. Scientific Reports, 11(1), 10923.