Hi! I’m a fourth-year computer science PhD student at the University of Washington advised by Dan Weld. My research interests are in human-AI interaction and explainable AI. More specifically, I enjoy investigating methods to help people more appropriately rely upon and trust intelligent systems as well as work within the limits of these systems.
Email: radensky@cs.washington.edu
CV |
LinkedIn |
Semantic Scholar |
Google Scholar
• Research assistant at the University of Washington
• Google (Summer 2022)
• Microsoft (Summer 2021)
• Allen Institute for AI (Summer 2020)
• Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discovery
Jason Portenoy, Marissa Radensky, Jevin West, Eric Horvitz, Daniel S. Weld, and Tom Hope (CHI 2022)
• PUMICE: A Multi-Modal Agent that Learns Concepts and Conditionals from Natural Language and Demonstrations
Toby Jia-Jun Li, Marissa Radensky, Justin Jia, Kirielle Singarajah, Tom M. Mitchell, and Brad A. Myers (UIST 2019)
• The Story in the Notebook: Exploratory Data Science using a Literate Programming Tool
Mary Beth Kery, Marissa Radensky, Mahima Arya, Bonnie E. John, and Brad A. Myers (CHI 2018)
• Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare
Marissa Radensky, Dustin Burson, Rajya Bhaiya, and Daniel S. Weld (CHI 2022 Workshop on Trust and Reliance in AI-Human Teams)
• Exploring the Role of Local and Global Explanations in Recommender Systems
Marissa Radensky, Doug Downey, Kyle Lo, Zoran Popović, and Daniel S. Weld (CHI 2022 Late-Breaking Work)
• Interactive Task and Concept Learning from Natural Language Instructions and GUI Demonstrations
Toby Jia-Jun Li, Marissa Radensky, Justin Jia, Kirielle Singarajah, Tom M. Mitchell, and Brad A. Myers (IPA 2020 Workshop)
• A Multi-Modal Approach to Concept Learning in Task Oriented Conversational Agents
Toby Jia-Jun Li, Marissa Radensky, Tom M. Mitchell, and Brad A. Myers (CHI 2019 Workshop)
• How End Users Express Conditionals in Programming by Demonstration for Mobile Apps
Marissa Radensky, Toby Jia-Jun Li, and Brad A. Myers (VL/HCC 2018 Poster)