Projects

During my PhD and postdoctoral research, I built software for automating quantum-device experiments and data acquisition. Dissatisfied with existing laboratory frameworks, I developed a modular Python-based system for instrument control, visualization, and analysis. Together with MPhil student Chen Huang, who greatly expanded the original design, it became the primary software framework used in our charge-noise measurements of semiconductor devices.

Interactive browser-based visualization of matrix transformations, eigendecompositions, and related linear-algebra concepts. Built to make abstract concepts easier to understand through direct manipulation and animation.

Most website blockers work at the domain level, making it difficult to distinguish useful content from distractions. This browser extension uses an LLM to evaluate individual pages and decide whether they match a user-defined definition of productive behaviour.

Simulated charge noise in silicon quantum-dot devices to understand how microscopic fluctuations affect device stability. The project supported our experimental work on one of the major bottlenecks in scalable semiconductor quantum computing.