Bio+MedVis Challenge @ IEEE VIS 2026 – Program

Monday, November 9, 2026, 13:00 PM - 4:30 PM

Keynote Speaker: Devin Lange

Devin Lange

Devin Lange is an Assistant Professor at Purdue University, where he directs the Vizoic Research Lab within the School of Applied and Creative Computing. His research focuses on developing tools that help biomedical experts analyze complex data using interactive visualization and artificial intelligence. Driven by a commitment to supporting domain experts, his work combines human creativity and design with rigorous technical engineering. His work visualizing cell microscopy data has earned Best Paper and Honorable Mention awards at IEEE VIS. He also developed Ferret, a visualization tool that helps reviewers identify signs of manipulation in tabular scientific data. Through an ARPA-H project, he is currently integrating AI and interactive visualization to support clinicians in pediatric neuro-oncology. Prior to Purdue, he was a postdoctoral fellow in Biomedical Informatics at Harvard Medical School and earned his PhD in Computer Science from the University of Utah.

Block 1 (90 minutes)

Time Duration Session
13:00 - 13:10 10 min Welcome and Introduction
Daniel Haehn, Robert Krueger
13:10 - 13:55 45 min Keynote:
Devin Lange
13:55 - 14:20 25 min Challenge I Introduction: Visual Exploration of Mammography Data
Avanith Kanamarlapudi
14:20 - 14:30 10 min MammoWeave: Fidelity-First Cohort Cartography for Auditing Mammography Data and Automated Labels
Chaofan Qiao, University of Electronic Science and Technology of China, Chengdu, Sichuan, China

Coffee Break (30 minutes)

14:30 - 15:00 30 min Coffee Break

Block 2 (90 minutes)

Time Duration Session
15:00 - 15:15 15 min Challenge II Introduction: Analysis of Conformational States in Adaptive Molecular Dynamics Simulations
Katarina Furmanova
15:15 - 15:25 10 min StateWeaver: Tracing State Changes in Adaptive Molecular Dynamics
Nikhil Maturi, Independent, San Diego, California, United States
15:25 - 15:35 10 min StateScope: Linking Adaptive Sampling Lineage to Molecular Evidence
Sen Gao, Yanshan University, Qinhuangdao, China
Zepeng Song, Yanshan University, Qinhuangdao, China
Mingxiang Du, Yanshan University, Qinhuangdao, China
15:35 - 15:45 10 min Ensemble Lens: Comparing Conformational Ensembles to Explain How Two Drug Candidates Reshape Aβ42
Augustine Nwafor, Computer Science, Louisiana State University, Shreveport, Louisiana, United States
Eric First, Department of Biochemistry and Molecular Biology, Louisiana State University of Health Sciences, Shreveport, Louisiana, United States
Urska Cvek, Department of Computer Science, LSU Shreveport, Shreveport, Louisiana, United States
15:45 - 15:55 10 min CôôrdVis-MD: From Cohorts to Conformations in Adaptive Molecular Dynamics Ensembles
Marcus Matheus Lameira de Araújo, LABVIS - Laboratory of Visualization Interaction, and Intelligent Systems, Federal University of Pará, Belém, Pará, Brazil
Bianchi Serique Meiguins, LABVIS - Laboratory of Visualization, Interaction, and Intelligent Systems, Federal University of Pará, Belém, Pará, Brazil
Carlos Gustavo Resque dos Santos, LABVIS - Laboratory of Visualization Interaction, and Intelligent Systems, Federal University of Pará, Belém, Pará, Brazil
15:55 - 16:05 10 min ConformaLens: conformational states in Adaptive Molecular Dynamics
Hossein Fathollahian, Electronic Visualization Laboratory, University of Illinois Chicago, Chicago, Illinois, United States
Siyuan Zhao, Electronic Visualization Laboratory, University of Illinois Chicago, Chicago, Illinois, United States
Marziye Salahshour, Department of Anatomy & Cell Biology, Rush University, Chicago, Illinois, United States
Saeed Boorboor, Computer Science, University of Illinois Chicago, Chicago, Illinois, United States
G. Elisabeta Marai, Electronic Visualization Laboratory, University of Illinois at Chicago, Chicago, Illinois, United States
16:05 - 16:25 20 min Poster Session & Networking
16:25 - 16:30 5 min Closing Remarks
Daniel Haehn, Robert Krueger