Data Analytics and Information Visualization

Analytics and Visualization encompass data management, information retrieval, knowledge analysis, and conceptual understanding in the context of large-scale organizational systems.

This Area supports technology-driven applications-oriented students in data mining, information retrieval, machine learning, information visualization, human-computer interaction, intelligent discovery environments, intelligent analysis systems, computational statistics, business analytics, and social and behavioral analytics.


Area LeadsFaculty AffiliatesPhD Students
Name Email Department

Douglas Simpson Statistics
Name Email Department

Robert Brunner Accountancy

Vic Anand Accountancy

Ben Grosser Art & Design

Paul Jensen Bioengineering

Arthur Schmidt CEE

Mani Golparvar-Fard CEE

Gabrielle Allen College of Education

Aditya Parameswaran Computer Science

Chengxiang Zhai Computer Science

David Forsyth Computer Science

John Hart Computer Science

Julia Hockenmaier Computer Science

Karrie Karahalios Computer Science

Kevin Chang Computer Science

Paris Smaragdis Computer Science

Svetlana Lazebnik Computer Science

Tao Xie Computer Science

Yizhou Yu Computer Science

Alexander Lipka Crop Sciences

Luc Paquette Curriculum & Instruction

Robb Lindgren Curriculum & Instruction

Zeynep Madak-Erdogan Food Science & Human Nutrition

Catherine Blake iSchool

David Dubin iSchool

Jodi Schneider iSchool

Michael Twidale iSchool

Vetle Torvik iSchool

Shannon Mejía Kinesiology and Community Health

Brian Deal Landscape Architecture

George Francis Math

Bruce Schatz Medical Info. Science

Daniel Katz NCSA

Zahra Mohaghegh Nuclear, Plasma, and Radiological Engineering

Amy Marshall-Colon Plant Biology

Surangi Punyasena Plant Biology

Dave Zhao Statistics

Douglas Simpson Statistics

Jeff Douglas Statistics

Naveen Narisetty Statistics

Steven Culpepper Statistics

Xiaohui Chen Statistics

Yuguo Chen Statistics