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 senior R&D software engineer for Microsoft's data visualization product: Power BI.
Find me on Twitter, GitHub, Reddit, and Keybase. My CV is available, as well as statements on research and teaching on request.
Capturing your follower's basic info so you make sure you follow them wherever you go next!
A practitioner-focused roundup from the IEEE VIS 2021 virtual conference.
A practitioner-focused roundup from the IEEE VIS 2020 virtual conference.
Through a co-design study, synthesized an engine to construct accessible visualization experiences for screen-reader users.
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 factors (tasks and data characteristics) that lead to changes in design strategies for effective scatterplot design.
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.
Identified and empirically tested the effects of rendering decisions on the recovery of color information from 3D surfaces.
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.
Our laboratory's philosophy toward visualization evaluation: evaluate from both a holistic and reductionist perspective.
Iteratively designed a visualization to summarize and present classifier results on many 3D molecular structures.