Adam Perer

Adam Perer is an Assistant Professor at Carnegie Mellon University within the Human-Computer Interaction Institute. His research focuses on data visualization, machine learning, and human-AI collaboration systems, particularly in healthcare contexts.

• Co-directs the Data Interaction Group
• Area Papers Chair at IEEE VIS
• PhD in Computer Science from University of Maryland
• Former Research Scientist at IBM Research

His work integrates visual analytics with machine learning to create interactive systems for clinical data analysis, AI interpretability, and exploratory data science. Recent publications demonstrate applications in epidemiology, ICU medicine, and child welfare decision-making.

Key research themes:

• Designing collaborative AI interfaces
• Visualizing embedding spaces for ML
• Interactive clinical decision support tools
• Explainable AI systems evaluation
• Temporal data exploration techniques

Awards include Best Paper Honorable Mentions at CHI and EuroVis, plus Most Reproducible Paper recognition. He advises multiple PhD candidates and teaches courses in Data Visualization and Interactive Data Science.