Dr. Jessie Chin

Associate Professor

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Biography

Jessie Chin is an associate professor in the School of Information Sciences at the University of Illinois Urbana-Champaign. Her research programs aim to advance knowledge in cognitive sciences, focusing on evolving human interaction with contemporary information technologies, understanding and developing coupling cognitive systems to augment performance in complex cognitive activities, and translating theories from social behavioral sciences into computational models to design sociotechnical solutions that enhance health communication behaviors over a lifespan. As a translational cognitive scientist, she conducts use-inspired basic and applied research to examine how individuals and groups interact with complex information environments using mixed methods that include controlled experiments, user studies, field studies, analysis, and computational modeling. Chin has received funding from organizations such as the National Institutes of Health, the Jump ARCHES program, and the Cancer Center at Illinois. She holds a Ph.D. in Educational Psychology and postdoctoral training in systems design engineering from the University of Waterloo. Before joining the iSchool, Chin was a faculty member in the Department of Biomedical and Health Information Sciences at the College of Applied Health Sciences at the University of Illinois Chicago.

Research Interests

Experience

Associate Professor

2015-08-01 — Present

University of Illinois Urbana-Champaign • Champaign, IL

Teaching and conducting research in the School of Information Sciences.

Awards

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Teachers Ranked Excellent by Students

2024-12-01
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Arnold O. Beckman Research Award

2022-12-01
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Teachers Ranked Excellent by Students

2020-12-01

Requirements for University of Illinois

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
TOEFL
Listening
Required:17
Reading
Required:19
Writing
Required:21
Speaking
Required:20
Total
Required:103
GRE General
Prerequisites
Mathematical background Linear Algebra Calculus
Application Checklist
  • Online application
  • Unofficial transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Resume/CV
Specialization Notes

GRE is optional for admission to all graduate programs in Statistics. Full status admission requires higher language scores than limited status.