Summary
Alex Kale is an Assistant Professor of Computer Science at the University of Chicago with a PhD in Information Science from the University of Washington and nine years of experience bridging data visualization, uncertainty communication, human vision, cognition, and statistics. His research and teaching draw on hands-on experimental work with MRI, eye tracking, and EEG, combining cognitive psychology foundations with rigorous data-driven visualization methods. At UW he progressed from research assistant to pre-doctoral research associate, developing experimental design, visual stimulus creation, and complex data analysis pipelines. Known for making uncertainty interpretable for diverse audiences, he brings both lab-based neuroscience insight and statistical rigor to practical visualization challenges. Based in Chicago, he blends academic scholarship with applied interdisciplinary collaboration across perception, data cognition, and visualization systems.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Information Science/Studies, Doctor of Philosophy - PhD, Information Science/Studies at University of Washington
English