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Submitted URL: http://perer.org/
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Submission: On October 16 via api from US — Scanned from DE
Effective URL: https://perer.org/
Submission: On October 16 via api from US — Scanned from DE
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Adam Perer · Carnegie Mellon I characterize my research as Human-Centered Data Science where I combine techniques from statistics, machine learning, and interactive data visualization to empower data scientists throughout their analytical workflow. My current research focuses around several themes: 1. Designing tools for Interactive and Visual Data Science 2. Providing insights with Interpretable Machine Learning 3. Innovating data science techniques for Data-Driven Healthcare I co-lead the Data Interaction Group, whose mission is to empower everyone to analyze and communicate data with interactive systems. Adam Perer is an Assistant Professor at Carnegie Mellon University, where he is a member of the Human-Computer Interaction Institute and he co-leads 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. Lately, his research focuses on human-centered data science and extracting insights from clinical data to support data-driven medicine. This work has been published at premier venues in visualization, human-computer interaction, and medical informatics. He was previously a Research Scientist at IBM Research. He holds a Ph.D. in Computer Science from the University of Maryland, College Park. Selected Publications (View all publications) ZENO: AN INTERACTIVE FRAMEWORK FOR BEHAVIORAL EVALUATION OF MACHINE LEARNING Ángel Alexander Cabrera , Erica Fu , Donald Bertucci , Kenneth Holstein , Ameet Talwalkar , Jason I. Hong , Adam Perer CHI 2023 IGNORE, TRUST, OR NEGOTIATE: UNDERSTANDING CLINICIAN ACCEPTANCE OF AI-BASED TREATMENT RECOMMENDATIONS IN HEALTH CARE Venkat Sivaraman , Leigh A. Bukowski , Joel Levin , Jeremy M. Kahn , Adam Perer CHI 2023 EVALUATING THE IMPACT OF HUMAN EXPLANATION STRATEGIES ON HUMAN-AI VISUAL DECISION-MAKING Katelyn Morrison , Donghoon Shin , Kenneth Holstein , Adam Perer CSCW 2023 IMPROVING HUMAN-AI COLLABORATION WITH DESCRIPTIONS OF AI BEHAVIOR Ángel Alexander Cabrera , Adam Perer , Jason I. Hong CSCW 2023 LEVERAGING ANALYSIS HISTORY FOR IMPROVED IN SITU VISUALIZATION RECOMMENDATION Will Epperson , Doris Jung-Lin Lee , Leijie Wang , Kunal Agarwal , Aditya Parameswaran , Dominik Moritz , Adam Perer EuroVis 2022 EMBLAZE: ILLUMINATING MACHINE LEARNING REPRESENTATIONS THROUGH INTERACTIVE COMPARISON OF EMBEDDING SPACES Venkat Sivaraman , Yiwei Wu , Adam Perer IUI 2022 IMPROVING HUMAN-AI PARTNERSHIPS IN CHILD WELFARE: UNDERSTANDING WORKER PRACTICES, CHALLENGES, AND DESIRES FOR ALGORITHMIC DECISION SUPPORT Anna Kawakami , Venkat Sivaraman , Hao-Fei Cheng , Logan Stapleton , Yanghuidi Cheng , Diana Qing , Adam Perer , Zhiwei Steven Wu , Haiyi Zhu , Kenneth Holstein CHI 2022 DISCOVERING AND VALIDATING AI ERRORS WITH CROWDSOURCED FAILURE REPORTS Ángel Alexander Cabrera , Abraham Druck , Jason I. Hong , Adam Perer CSCW 2021 DESIGNING ALTERNATIVE REPRESENTATIONS OF CONFUSION MATRICES TO SUPPORT NON-EXPERT PUBLIC UNDERSTANDING OF ALGORITHM PERFORMANCE Hong Shen , Haojian Jin , Ángel Alexander Cabrera , Adam Perer , Haiyi Zhu , Jason I. Hong CSCW 2020 GETTING PLAYFUL WITH EXPLAINABLE AI: GAMES WITH A PURPOSE TO IMPROVE HUMAN UNDERSTANDING OF AI Laura Beth Fulton , Ja Young Lee , Qian Wang , Zhendong Yuan , Jessica Hammer , Adam Perer CHI 2020 SEARCHLENS: COMPOSING AND CAPTURING COMPLEX USER INTERESTS FOR EXPLORATORY SEARCH Joseph Chee Chang , Nathan Hahn , Adam Perer , Aniket Kittur IUI 2019 ABLATE, VARIATE, AND CONTEMPLATE: VISUAL ANALYTICS FOR DISCOVERING NEURAL ARCHITECTURES Dylan Cashman , Adam Perer , Remco Chang , Hendrik Strobelt VAST 2019 SEQ2SEQ-VIS : A VISUAL DEBUGGING TOOL FOR SEQUENCE-TO-SEQUENCE MODELS Hendrik Strobelt , Sebastian Gehrmann , Michael Behrisch , Adam Perer , Hanspeter Pfister , Alexander Rush VAST 2018 COPING WITH VOLUME AND VARIETY IN TEMPORAL EVENT SEQUENCES: STRATEGIES FOR SHARPENING ANALYTIC FOCUS Fan Du , Ben Shneiderman , Catherine Plaisant , Sana Malik , Adam Perer IEEE Transactions on Visualization and Computer Graphics 2017 CLUSTERVISION: VISUAL SUPERVISION OF UNSUPERVISED CLUSTERING Bum Chul Kwon , Ben Eysenbach , Janu Verma , Kenney Ng , Christopher deFilippi , Walter Stewart , Adam Perer VAST 2017 INTERACTING WITH PREDICTIONS: VISUAL INSPECTION OF BLACK-BOX MACHINE LEARNING MODELS Josua Krause , Adam Perer , Kenney Ng CHI 2016 SUPPORTING ITERATIVE COHORT CONSTRUCTION WITH VISUAL TEMPORAL QUERIES Josua Krause , Adam Perer , Harry Stavropoulos VAST 2015 PROGRESSIVE VISUAL ANALYTICS: USER-DRIVEN VISUAL EXPLORATION OF IN-PROGRESS ANALYTICS Charles Stolper , Adam Perer , David Gotz VAST 2014 INFUSE: INTERACTIVE FEATURE SELECTION FOR PREDICTIVE MODELING OF HIGH DIMENSIONAL DATA Josua Krause , Adam Perer , Enrico Bertini VAST 2014 FREQUENCE: INTERACTIVE MINING AND VISUALIZATION OF TEMPORAL FREQUENT EVENT SEQUENCES Adam Perer , Fei Wang IUI 2014 THE LONGITUDINAL USE OF SANDVIS: VISUAL SOCIAL NETWORK ANALYTICS IN THE ENTERPRISE Adam Perer , Ido Guy , Erel Uziel , Inbal Ronen , Michal Jacovi IEEE Transactions on Visualization and Computer Graphics 2013 DATA-DRIVEN EXPLORATION OF CARE PLANS FOR PATIENTS Adam Perer , David Gotz CHI 2013 ORION: A SYSTEM FOR MODELING, TRANSFORMATION AND VISUALIZATION OF MULTI-DIMENSIONAL HETEROGENEOUS NETWORKS Jeffrey Heer , Adam Perer VAST 2011 SEARCH, SHOW CONTEXT, EXPAND ON DEMAND: SUPPORTING LARGE GRAPH EXPLORATION WITH DEGREE-OF-INTEREST Frank van Ham , Adam Perer IEEE InfoVis 2009 SYSTEMATIC YET FLEXIBLE DISCOVERY: GUIDING DOMAIN EXPERTS THROUGH EXPLORATORY DATA ANALYSIS Adam Perer , Ben Shneiderman International Conference on Intelligent User Interfaces 2008 INTEGRATING STATISTICS AND VISUALIZATION: CASE STUDIES OF GAINING CLARITY DURING EXPLORATORY DATA ANALYSIS Adam Perer , Ben Shneiderman ACM Conference on Human Factors in Computing Systems 2008 BALANCING SYSTEMATIC AND FLEXIBLE EXPLORATION OF SOCIAL NETWORKS Adam Perer , Ben Shneiderman IEEE InfoVis 2006 (View all publications) Assistant Professor Co-lead, Data Interaction Group Human-Computer Interaction Institute School of Computer Science Carnegie Mellon University -------------------------------------------------------------------------------- adamperer@cmu.edu Newell-Simon Hall 2504E 5000 Forbes Avenue Pittsburgh PA 15213 Admin: Julia Chadwick 412-268-9254 Curriculum vitae -------------------------------------------------------------------------------- TEACHING * HCI for Product Managers Spring 2023 * Interactive Data Science Spring 2022 * Data Visualization Fall 2021 * Interactive Data Science Spring 2021 * Interactive Data Science Fall 2020 * Data Science and Visualization Spring 2019 * Interpretable Machine Learning Spring 2019 Office hours: TBD -------------------------------------------------------------------------------- ADVISING PhD Students * Ángel Alexander Cabrera * Katelyn Morrison * Venkat Sivaraman * Will Epperson Masters Students * Rohit Chougule * Tianqi (Andy) Wu Undergraduate Students * Kazi Jawad * Unn Seo (Grace) Park * Yejun (Ariel) Kwak --------------------------------------------------------------------------------