Marissa Radensky

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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 at cs dot washington dot edu

CV | LinkedIn | Semantic Scholar | Google Scholar

Currently

• Research assistant at the University of Washington

Previous Research Internships

• Google (Summer 2022)

• Microsoft(Summer 2021)

• Allen Institute for AI (Summer 2020)

Publications

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)

Workshop Papers and Extended Abstracts

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)