معرفی
Maxim Lisnic serves as an Assistant Professor of Computer Science at Worcester Polytechnic Institute (WPI), specializing in human-data interaction and data visualization to enhance chart transparency and usability. His research examines how users interpret, misinterpret, and reframe data through visual representations.
Dr. Lisnic earned his Ph.D. from the University of Utah’s Kahlert School of Computing under advisors Marina Kogan and Alexander Lex. During graduate studies, he completed an internship at Tableau Research collaborating with Nicole Sultanum and Vidya Setlur.
His work centers on preventing misleading visualizations through intervention design, studying expert knowledge in data analysis, and improving dashboard transparency. Recent publications demonstrate consistent focus on ethical data presentation, user psychology in visualization, and real-world deception patterns in charts.
Analysis of his 2023-2025 publications reveals growing emphasis on social dimensions of data misinterpretation, with 4 of 5 papers addressing misleading visualizations across academic (CHI, IEEE VIS) and public contexts. Key trends include intervention design against cherry-picking, text scaffolding in dashboards, and public engagement with deceptive charts.
Scientific recognition includes:
- Honorable Mention Award at IEEE Visualization Conference 2025
Dr. Lisnic actively contributes to visualization research communities through GitHub repositories (mlisnic) and collaborations with the Kogan Research Group and Visualization Design Lab. While publication co-authors suggest student mentorship, specific advising relationships and grant funding details are not documented in available sources.
His technical contributions include open-source projects related to guardrails frameworks and visualization tools, reflecting applied research translating theoretical findings into practical systems.
