I'm an Assistant Professor in Computer Science & Engineering at the University of Minnesota. I am also affiliated with the GroupLens Research Lab, a group of HCI faculty and students in the department.

My research areas are human-centered artificial intelligence, explainability and interpretability, and hybrid intelligence systems. I study these areas in two ways: (1) critically evaluating existing systems and tools on meeting their intended goals; and (2) designing and building new systems that leverage human-centered cognitive, social, and organizational norms for human-machine collaboration. I apply these methods in a variety of domains, including exploratory data analysis, workplace wellbeing and productivity, knowledge search and sensemaking.

I received my Ph.D. in Information and Computer Science & Engineering from the University of Michigan, where I was co-advised by Cliff Lampe and Eric Gilbert.

I am recruiting Ph.D., master's, and undergraduate students to establish my lab! If you're interested in the research areas mentioned above, please feel free to contact me via email. Ph.D. students must apply through the University of Minnesota Computer Science & Engineering Ph.D. program. This has a Fall deadline in December/January of each year.

Latest News

October 2024: Many thanks to Google for funding my research with an Academic Research Award.

September 2024: Welcoming my first PhD students to the lab: Anna Martin-Boyle, Malik Khadar, and Syeda Masooma Naqvi!

June 2024: Grateful to Microsoft and TikTok for their research funding gifts.

August 2023: Started my new position as a tenure-track faculty at the University of Minnesota. Excited to teach a research seminar on Human-Centered AI this Fall.

May 2023: Successfully defended my dissertation!

August 2022: FeedLens accepted to UIST. We present results from applying our polymorphic lenses technique to Semantic Scholar, improving engagement and exploration for literature search.

June 2022: Paper on Sensible AI accepted to FAccT. We propose an alternate framework for interpretability and explainability grounded in sensemaking theory from organizational studies.

Feb 2022: Paper on comparing Automatic Emotion Recognition technology and self-reported affective profiles accepted to CHI.

Jan 2022: I passed my dissertation proposal!

September 2021: Honored to receive the Google PhD Fellowship!

Upcoming Travel

Nov 9-13, 2024:  San José, Costa Rica (CSCW 2024)