OpenCell is a project led by the Leonetti group at the Biohub to systematically measure human protein localization and interactions by building proteome-scale libraries of fluorescently-tagged human cell lines. I was the sole developer of opencell.czbiohub.org, a full-stack web application to manage and visualize the large multimodal datasets generated by this effort. I was also a co-first author on the paper we published in 2022.

This was a project at the Biohub to automate imaging on 96-well plates by combining device-control logic with real-time predictions from computer vision models to determine optimal imaging parameters.

This was a side project to build intuition for how classification models work. It trains models directly in the browser using plain JavaScript implementations of common classification algorithms and renders a real-time visualization of how model predictions fluctuate during training.

This was a side project to interactively visualize a collection of century-long daily temperature records from stations across the US. It was primarily an exercise in using d3.js to build bespoke visualization dashboards.