In October 2025, Oyama focused on stabilizing the conditional expectation simulation in the Two Auctions lecture within the QuantEcon/lecture-python.myst repository. By refactoring the simulation code and adjusting the valuation generation process, Oyama improved both the consistency and accuracy of the simulation results. This work, implemented in Python and documented in Markdown, enhanced the clarity and reproducibility of the teaching materials, making them easier to use and verify. Drawing on skills in data analysis, scientific computing, and simulation, Oyama’s targeted bug fix contributed to the long-term maintainability of the codebase by improving readability and documentation around the simulation setup.