معرفی
Professor Alexander Lex is an Associate Professor of Computer Science at the University of Utah, affiliated with the Scientific Computing and Imaging (SCI) Institute and the Kahlert School of Computing. He directs the Visualization Design Lab, focusing on interactive visual data analysis for scientific fields like biology and medicine. His work emphasizes reproducibility, accessibility for visually impaired users, and infrastructure for crowd-sourced user studies. He co-founded Datavisyn, a startup for pharmaceutical visualization solutions.
Education: Lex holds a PhD, master’s, and undergraduate degrees from Graz University of Technology. He was a postdoctoral researcher at Harvard University and a visiting researcher at Harvard Medical School.
Research Interests: His areas include data visualization, human-computer interaction, reproducible workflows, and accessibility. Recent work explores mitigating data misinformation through visualization guardrails and scalable evaluation frameworks like reVISit.
Articles Trends: Recent publications address ethical visualization (e.g., cherry-picking mitigation), accessibility (text descriptions for UpSet), and multimodal visualization (Aardvark). His work spans journals like IEEE TVCG and conferences like CHI/IEEE VIS, often focusing on user-centric design and system integration.
- Awards: NSF CAREER Award, 10-year InfoVis Test of Time Award (2024), multiple best paper awards at IEEE VIS and CHI.
Advising & Grants: Supervises 4 current PhD students and has graduated 15+ students. Leads grants including NSF-funded reVISit and NIH projects on cell microscopy visualization. Serves as Director of Graduate Studies for the Kahlert School.
Labs & Teams: Visualization Design Lab (VizLab) develops tools like UpSet, reVISit, and MultiNet. Collaborates with industry (e.g., Datavisyn) and academic partners on visualization infrastructure.
