I am a third year Ph.D. student at Carnegie Mellon University in the Human-Computer Interaction Institute where I am fortunate to be advised by Adam Perer. My research focuses on improving human-AI collaboration (👩🏻💼 + 🤖) with Generative AI by investigating reliance on AI and the impact of eXplainable AI (XAI) visualizations and interactions. My research has focused on language models explaining image classifications in high-stakes decision-making domains such as building damage assessment 🛰, wildlife conservation 🦜, and medical imaging . I am also interested in exploring Generative AI in low-stakes domains. My research has been funded by the NIH and the Software Engineering Institute at Carnegie Mellon University. I am a co-organizer for a workshop at NeurIPS 2023 on Computational Sustainability: Promises and Pitfalls from Theory to Deployment.
I graduated from the University of Pittsburgh in May 2021 with a bachelor’s degree in computer science and a certificate in sustainability. In undergrad, I focused on the application and limitations of computer vision models as well as the distribution of smart mobility resources within cities. I also served as a co-organizer for the 2020 and 2022 Computational Sustainability Doctoral Consortium.
|Oct 15, 2023||Presented two papers at CSCW 2023 in Minneapolis!|
|Oct 13, 2023||Our 👩🏻💼 + 🤖 for 🦜 paper was conditionally accepted to CSCW 2024! Stay tuned|
|Jul 5, 2023||Workshop on Computational Sustainability accepted to NeurIPS 2023!|
|Apr 4, 2023||Workshop paper accepted to XAI4CV Workshop at CVPR 2023!|
|May 16, 2022||Ph.D. Research Intern at Microsoft Research, Redmond this summer!|
Conference PaperEvaluating the Impact of Human Explanation Strategies on Human-AI Visual Decision-MakingIn ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW) 2023
Conference PaperThe Impact of Imperfect XAI on Human-AI Decision-MakingCONDITIONALLY ACCEPTED at ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW) 2024