Alex Kale is an Assistant Professor in Computer Science and the Data Science Institute at the University of Chicago. Previously, he earned his PhD at the University of Washington where he worked with Jessica Hullman. Alex leads the Data Cognition Lab (website to come), focused on creating data visualization and analysis software that explicitly represents the user’s cognitive processes.

Alex creates and evaluates tools for helping people think with data, specializing in data visualization and reasoning with uncertainty. He publishes in top human-computer interaction and data visualization venues such as ACM CHI and IEEE VIS, where his work has won Best Paper and Honorable Mention Awards. Alex’s work addresses gaps in dominant theories and models of what makes visualization effective for inferences and decision making.

Research

Data & Databases

Systems and algorithms for managing and analyzing data at scale

Human Computer Interaction

Exploring the interfaces between people and technologies

Visual Computing

Creating and analyzing data from the visual world, and visually understanding complex data

News & Events

UChicago CS News

New 2022-23 CS Faculty Add Expertise in Linguistics, Visualization, Economics, and Data Science Education

Aug 11, 2022
Past Event

Alex Kale (U. of Washington) – Data Interfaces for Reasoning with Uncertainty

Mar 03, 2022
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