Katelyn C. Morrison

Current Resume

I am a fifth year Ph.D. candidate at Carnegie Mellon University in the Human-Computer Interaction Institute where I am fortunate to be advised by Adam Perer. My research bridges technical machine learning approaches 🤖 and human-centered methods 👩🏻‍💼 to design and evaluate explainable AI (XAI) systems that enhance human-AI collaborations in critical decision-making contexts, such as healthcare and wildlife conservation. In recognition of my work at the intersection of AI and health, I was awarded a Digital Health Innovations Fellowship from the Center for Machine Learning and Health at Carnegie Mellon University. My research has also been funded by the NIH and the Software Engineering Institute at Carnegie Mellon University. Throughout my Ph.D., I’ve been fortunate to complete multiple research internships at Microsoft Research and IBM Research. 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.

news

May 16, 2024	Selected for the Center for Machine Learning and Health Fellowship at CMU!
Mar 30, 2024	Our paper in collaboration with Wild Me has been accepted to FAccT!
Dec 20, 2023	My Microsoft Research Internship work on AI-Powered Reminders has been accepted to CSCW 2024!
Dec 10, 2023	Joining Justin Weisz’s team at IBM this summer as a Human-Centered Generative AI Research Scientist Intern!
Oct 13, 2023	Our Imperfect XAI paper on 👩🏻‍💼 + 🤖 for 🦜 was accepted to CSCW 2024!

selected publications

Conference Paper
MedSyn: Text-guided Anatomy-aware Synthesis of High-Fidelity 3D CT Images

Xu, Y., Sun, L., Peng, W., Jia, S., Morrison, K., Perer, A., Zandifar, A., Visweswaran, S., Eslami, M., and Batmanghelich, K.

IEEE Transactions on Medical Imaging 2024

Bib HTML
@article{xu2024medsyn, bibtex_show = {true}, abbr = {Conference Paper}, title = {MedSyn: Text-guided Anatomy-aware Synthesis of High-Fidelity 3D CT Images}, author = {Xu, Y. and Sun, L. and Peng, W. and Jia, S. and Morrison, K. and Perer, A. and Zandifar, A. and Visweswaran, S. and Eslami, M. and Batmanghelich, K.}, journal = {IEEE Transactions on Medical Imaging}, year = {2024}, html = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10566053}, selected = {true} }
Conference Paper
The Impact of Imperfect XAI on Human-AI Decision-Making

Morrison, K., Spitzer, P., Turri, V., Feng, M., Kühl, N., and Perer, A.

ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW) 2024

Bib HTML PDF
@article{morrison2023imperfectxai, bibtex_show = {true}, abbr = {Conference Paper}, title = {The Impact of Imperfect XAI on Human-AI Decision-Making}, author = {Morrison, K. and Spitzer, P. and Turri, V. and Feng, M. and Kühl, N. and Perer, A.}, journal = {ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW)}, year = {2024}, html = {https://arxiv.org/pdf/2307.13566.pdf}, pdf = {communication_talk_2023.pdf}, selected = {true} }