About Me
I am a fourth-year Ph.D. student in the Department of Computer Science at Washington University in St. Louis. As a graduate research assistant at the Visual Interface and Behavior Exploration Lab (VIBE), I am focused on investigating the interplay of information visualization and visual analytics under the supervision of Alvitta Ottley. My study focuses on examining visualization literacy and using computer vision techniques to comprehend how people really see visualizations when they are used in the real world.
Current Projects
- Understanding the multicultural aspect of Visualization Literacy
- Evaluating LLMs in the context of visualizations (are they ready yet to use in visualization education?)
- Understanding perceived beauty of visualizations through the lens of Computer Vision techniques
In addition to my passion for research, I am also an avid sports enthusiast, with a particular interest in badminton and cricket. My love for the sport led me to pursue a career in visualization, and it was the discovery of CricVis, an interactive visual exploration and analysis tool for Cricket matches, that truly sparked my interest in the field. I am determined to make data visualization accessible and understandable for all, and am constantly seeking new ways to improve the field.
Recent News
- May, 2025 - Attending EuroVIS in Luxembourg City, Luxembourg from May 31 - June 6 to present my work on benchmarking language models in the context of visualization
- May, 2025 - Moved to Seattle for Summer 2025 to start working at Adobe as an Research Scientist Intern
- May, 2025 - I passed my dissertation proposal!!!
- March, 2025 - Paper titled "Benchmarking Visual Language Models on Standardized Visualization Literact Tests" accepted at EuroVIS 2025 (Computer Graphics forum)
- January, 2025 - I will be joining Adobe as Research Scientist Intern for Summer 2025
- January, 2025 - Paper titled "Trustworthy by Design: The Viewer's Perspective on Trust in Data Visualization" accepted at ACM CHI 2025 (Yokohama, Japan)
- December, 2024 - I finished co-instructing the course "Introduction to Visualization" with an average rating of 6.67/7 (Department avg: 6.11, School avg: 6.18)
- July, 2024 - Paper titled "Building and Eroding: Exogenous and Endogenous Factors that Influence Subjective Trust in Visualization" accepted at IEEE Visualization 2024
- June 3, 2024 - I will be starting as a Doctoral Research Student Intern at American Institutes for Research for Summer 2024
- June 16, 2023 - Paper titled "Do You Trust What You See? Toward A Multidimensional Measure of Trust in Visualization" accepted at IEEE Visualization 2023 (Melbourne, Australia)
- March 30, 2023 - Paper titled "Mini-VLAT: A Short and Effective Measure of Visualization Literacy" awarded Best Paper Award at EuroVIS (2023)
- February 27, 2023 - Paper titled "Mini-VLAT: A Short and Effective Measure of Visualization Literacy" accepted at EuroVis 2023 (Acceptance Rate = 27%)
Recent Works
Benchmarking Visual Language Models on Standardized Visualization Literacy Tests
Saugat Pandey, Alvitta Ottley
Computer Graphics Forum, In Proceedings of the 27th EG Conference
on Visualization (EuroVis) 2025 · paper
Trustworthy by Design: The Viewer's Perspective on Trust in Data Visualization
Oen G. McKinley, Saugat Pandey, Alvitta Ottley
ACM CHI 2025 · paper
Building and Eroding: Exogenous and Endogenous Factors that Influence Subjective Trust in Visualization
R. Jordan Crouser, Syrine Matoussi, Lan Kung, Saugat Pandey, Oen G. McKinley, Alvitta Ottley
IEEE VIS 2024 · paper
Do You Trust What You See? Towards A Multidimensional Measure of Trust in Visualization
Saugat Pandey, Oen G. McKinley, R. Jordan Crouser, Alvitta Ottley
IEEE VIS 2023 · paper
Mini-VLAT: A Short and Effective Measure of Visualization Literacy
Saugat Pandey, Alvitta Ottley
Computer Graphics Forum, In Proceedings of the 25th EG Conference
on Visualization (EuroVis) 2023 · paper · Best Paper Award 🏆
Contact
You can always reach out to me via email p.saugat@wustl.edu if you want to discuss Visualization, LLMs, Vision, or ML/AI in general in the context of visualizations. I'm always excited to engage in conversations about these topics!