Department of Computer Science and the College
Alex Kale is a data visualization and human-computer interaction researcher. He creates and investigates software tools for helping people reason with data and statistical models, especially in situations involving uncertainty. His work seeks to augment human statistical reasoning by providing new ways to interact with data and software tools that more explicitly represent the choices, rationales, caveats, and assumptions that underlie data analysis. His current interests include data exploration, model interpretability, causal inference, decision making, fairness, and uncertainty visualization.
His research has been published in top human-computer interaction and data visualization venues, including the Association for Computing Machinery Conference on Human Factors in Computing Systems (ACM CHI) and the Institute of Electrical and Electronics Engineers, Incorporated, Visualization Conference (IEEE VIS), where his work has won Best Paper and Honorable Mention awards for advances in empirical evaluation of data visualization software.
Kale earned his BS in psychology, with minors in music and philosophy, at the University of Washington, Seattle. He then continued his education at the University of Washington Information School, earning an MS and PhD in information science.