My name is Maxim Lisnic and I am an Assistant Professor of Computer Science at WPI.
I received my Ph.D. student from the University of Utah’s Kahlert School of Computing where I was advised by Marina Kogan and Alexander Lex. During my graduate studies, I was fortunate to intern at Tableau Research and work with Nicole Sultanum and Vidya Setlur.
I am broadly interested in human-data interaction and data visualization. My research focuses on how people interpret and misinterpret, frame and reframe data and charts. My goal is to make charts and data portals more useful, understandable, and transparent.
You can access my CV here.
Select publications
Here’s what you need to know about my data: Exploring Expert Knowledge’s Role in Data Analysis
Haihan Lin, Maxim Lisnic, Derya Akbaba, Miriah Meyer, Alexander Lex
2025 IEEE Visualization Conference (forthcoming)
Honorable Mention Award
Preprint doi: 10.31219/osf.io/dn32z
Plume: Scaffolding Text Composition in Dashboards
Maxim Lisnic, Vidya Setlur, Nicole Sultanum
2025 CHI Conference on Human Factors in Computing Systems
Paper doi: 10.1145/3706598.3713580
Visualization Guardrails: Designing Interventions Against Cherry-Picking in Interactive Data Explorers
Maxim Lisnic, Zach Cutler, Marina Kogan, Alexander Lex
2025 CHI Conference on Human Factors in Computing Systems
Paper doi: 10.1145/3706598.3713385
“Yeah, this graph doesn’t show that”: Analysis of Online Engagement with Misleading Data Visualizations
Maxim Lisnic, Alexander Lex, Marina Kogan
2024 CHI Conference on Human Factors in Computing Systems
Paper doi: 10.1145/3613904.3642448
Misleading Beyond Visual Tricks: How People Actually Lie With Charts
Maxim Lisnic, Cole Polychronis, Alexander Lex, Marina Kogan
2023 CHI Conference on Human Factors in Computing Systems
Paper doi: 10.1145/3544548.3580910
