I build software enabling people to create data visualizations in order to help everyone make sense of large amounts of data.
I attended the University of Washington, and then earned a PhD from the University of Wisconsin-Madison. My experience includes creating visualizations for biological analyses and using visualization to summarize large amounts of data to highlight trends, patterns, and anomalies. Currently, I work as an R&D engineer for Microsoft's data visualization product, Power BI.
A practitioner-focused roundup from the IEEE VIS 2020 virtual conference.
09 December 2020
A little write-up of how we built the IEEE VIS virtual website experience.
18 November 2020
Categorized features of dashboards to recognize the open challenges for general visualization communication.
Categorized different types of summaries used in visualization to identify how those decisions affect their use.
Identified methods for focusing large amounts of log event data for downstream analysis and provenance.
Iteratively designed an visualization to help rapidly identify co-occurrences of base-pair mutations in populations of viral genomes.
Designed and implemented a visualization system to rapidly identify correlations of mutations between viral genome samples.
WebGL is used to port the Splatterplot implementation to scale to large amounts of data on the web.
Iteratively designed a visualization to summarize and present classifier results on many 3D molecular structures.