Partnered with a finance executive to run and tweak an automated futures trading system. Debugged critical errors, scheduled and monitored daily trading processes, and ran quantitative analyses to optimize trading parameters.

Built a data pipeline in Python to automate file organization, data cleaning, and analysis for one of many experiments in a large, multi-year, multi-lab VR study between UC Irvine and UC Santa Barbara, exploring why some people navigate better than others. Analyzed and presented correlations between performance on two previously unlinked tasks, which supported future analyses within the broader project.

Developed an image processing and feature extraction pipeline, using computer vision to isolate tiny, dim structures (dendritic spines) from noisy backgrounds (two-photon microscopy images of hippocampal CA1 neurons) with co-authors.