Marissa Radensky

Marissa Radensky is a Computer Science PhD candidate at the University of Washington, specializing in human-AI interaction, particularly in areas such as human-LLM co-creation, trust in recommender systems, and explainable AI. Marissa's experience includes a research internship at the Allen Institute for AI, where research focused on human-LLM scientific writing, as well as student researcher roles at Google and Microsoft, contributing to health data projects. Previous positions include conducting mixed-methods studies on recommender systems and assisting in research at institutions such as Carnegie Mellon University and the National University of Singapore. Marissa holds a Bachelor's degree in Computer Science and Physics from Amherst College.