Markelle Kelly

I am a computer science Ph.D. candidate in the DataLab group at the University of California, Irvine, advised by Dr. Padhraic Smyth. I am broadly interested in the development of user-centered tools for more interpretable and accountable machine learning; my research centers on understanding and improving human-machine interaction. I’m a member of the Steckler Center for Responsible, Ethical, and Accessible Technology, the Irvine Initiative in AI, Law, and Society, and the HPI Research Center in Machine Learning and Data Science at UCI.

I have interned with Apple, where I worked on tools to support data-centric machine learning, and at Project Jupyter, where I was involved in the development and design of JupyterLab. I received my Bachelor’s degree in statistics from California Polytechnic State University, San Luis Obispo in 2020 and my Master’s degree in computer science from UCI in 2022.

Markelle Kelly

Selected Publications

Variable-Based Calibration for Machine Learning Classifiers
Markelle Kelly and Padhraic Smyth
37th AAAI Conference on Artificial Intelligence (AAAI), 2023
[pdf] [code]

Capturing Humans' Mental Models of AI: An Item Response Theory Approach
Markelle Kelly, Aakriti Kumar, Padhraic Smyth, and Mark Steyvers
ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2023
[pdf] [code]


10/15/2022, UCI ICS Spotlight: "Markelle Kelly Highlights the Human Side of Computer Science"

10/03/2022, TREX VIS Promotional Tweet: "Markelle Kelly and Padhraic Smyth will discuss how..."

03/29/2022, UCI Statistics News: "Culture of Collaboration Leads to Cutting-Edge Work in AI"