Advised numerous PhD students now working at US Postal Commission, Midjourney, RAND, Stitch Fix, Google, Apple, Stanford, etc.
Published 'Feminist Interaction Techniques: Deterring Non-Consensual Screenshots with Interaction Techniques' at UIST'24
Published 'One vs. Many: Comprehending Accurate Information from Multiple Erroneous and Inconsistent AI Generations' at FAccT'24
Published 'Causal Pattern Diagrams in Science Texts Support Explanation' at ICLS'24
Published 'Authors' Values and Attitudes Towards AI-bridged Scalable Personalization of Creative Language Arts' at CHI'24 (Honorable Mention Award)
Published 'PromptPaint: Steering Text-to-Image Generation Through Paint Medium-like Interactions' at UIST'23
Published 'Artinter: AI-powered Boundary Objects for Commissioning Visual Arts' at DIS'23
Published 'Roboviz: A Game-Centered Project for Information Visualization Education' and 'Affective Learning Objectives for Communicative Visualizations' at VIS'22
Published 'Sensible AI: Re-imagining Interpretability and Explainability using Sensemaking Theory' at FAccT'22
Published 'Artist Support Networks: Implications for Future Creativity Support Tools' at DIS'22
Published 'Composites: A Tangible Interaction Paradigm for Visual Data Analysis in Design Practice' at AVI'22
Published 'TaleBrush: Sketching Stories with Generative Pretrained Language Models' and 'Solving Separation-of-Concerns Problems in Collaborative Design of Human-AI Systems through Leaky Abstractions' at CHI'22
Research Experience
Worked as a researcher at HP Labs' Information Dynamics Group and Xerox PARC before grad school
Affiliated with the MISC (HCI-focused) and MIDAS research groups
Co-founder of ICWSM and has chaired it multiple times
Served as Co-General Chair for WSDM and Co-Program Chair for UIST
Research group funded by NSF, IARPA, NIH, the U.S. Department of Education, Adobe, Microsoft, Facebook, Google, and Yahoo
Background
Professor of Information and Computer Science at the University of Michigan
Research lies at the intersection of HCI and AI
Research interests include large-scale behavioral modeling (e.g., search, social network evolution, learning, meme and rumor spread, programming, text production and consumption)
Focuses on integrating AI technologies into user-facing interfaces and visualization
Works at internet scale, covering language, creativity, data/text mining, visualization, and social network analysis