My name is Maxim Lisnic and I am a Ph.D. student in Human-Centered Computing at the University of Utah’s Kahlert School of Computing. I am advised by Marina Kogan and Alexander Lex. Last summer, I was fortunate to intern with Tableau Research.
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.
I am looking for academic & industry research positions starting Fall 2025—please reach out!. You can access my CV here.
Peer-reviewed publications
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 (to appear)
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
Preprint doi: 10.31219/osf.io/4j9nr
Paper doi: 10.1145/3706598.3713385 (to appear)
“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
Preprints
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
Preprint doi: 10.31219/osf.io/dn32z
