Scholar
Adam Perer
Google Scholar ID: wAxr6b8AAAAJ
Carnegie Mellon University
Citations & Impact
Citations
4,029
H-index
35
i10-index
57
Publications
20
Co-authors
14
list available
Publications
Resume (English only)
Academic Achievements
- - Published over 50 peer-reviewed papers in premier venues in visualization, human-computer interaction, and medical informatics
- - Selected Publications:
- - Tempo: Helping Data Scientists and Domain Experts Collaboratively Specify Predictive Modeling Tasks
- - Static Algorithm, Evolving Epidemic: Understanding the Potential of Human-AI Risk Assessment to Support Regional Overdose Prevention
- - Divisi: Interactive Search and Visualization for Scalable Exploratory Subgroup Analysis
- - Transparency in the Wild: Navigating Transparency in a Deployed AI System to Broaden Need-Finding Approaches
- - The Impact of Imperfect XAI on Human-AI Decision-Making
- - Zeno: An Interactive Framework for Behavioral Evaluation of Machine Learning
- - Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care
- - Evaluating the Impact of Human Explanation Strategies on Human-AI Visual Decision-Making
- - Eye into AI: Evaluating the Interpretability of Explainable AI Techniques through a Game With a Purpose
- - Improving Human-AI Collaboration with Descriptions of AI Behavior
- - Dead or Alive: Continuous Data Profiling for Interactive Data Science
- - Leveraging Analysis History for Improved In Situ Visualization Recommendation
- - Emblaze: Illuminating Machine Learning Representation
Research Experience
- - Assistant Professor, Carnegie Mellon University
- - Research Scientist, IBM Research
- - Currently an Area Papers Chair at IEEE VIS and a Visualization Subcommittee Papers Chair at ACM CHI
- - Research Focus: Human-centered data science, extracting insights from clinical data to support data-driven medicine
Education
- - Ph.D. in Computer Science from the University of Maryland, College Park
Background
- - Research Interests: How people engage and make decisions with data
- - Professional Fields: Human-Computer Interaction, Data Visualization, Machine Learning
- - Brief Introduction: Assistant Professor at Carnegie Mellon University, member of the Human-Computer Interaction Institute, and Co-Director of the Data Interaction Group. His research integrates data visualization and machine learning techniques to create visual interactive systems to help users make sense out of big data.
