About
I am an Assistant Professor in the McCombs School of Business at the University of Texas at Austin. Additionally, I hold courtesy appointments with the Department of Computer Science and the School of Information. I am also an affiliated faculty member of the Oden Institute for Computational Engineering and Sciences, a core member of the UT Machine Learning Lab, and affiliated with MIT.
I received my Ph.D. from the MIT Media Lab in 2020. Prior to this, I earned dual Master's degrees in Computer Science and Transportation Engineering from MIT. My research is supported by the National Science Foundation and the National Institutes of Health.
My research focuses on understanding AI behavior and making AI systems more transparent and reliable to support human decision-making.
- AI evaluation, behavioral alignment, and interpretability. I develop methods for AI evaluation, behavioral alignment, and interpretability. I study how model representations and training shape behavior, and use human evidence to assess and guide interventions such as post-training, activation steering, and calibration.
- Networks and decision-making. I study how social relationships shape behavior and how network information can inform decisions. My work examines social influence and adoption, learns network structure from observed behavior, and develops personalized decision support through interpretable recommendations. Read more about this research.
My research has received the INFORMS ISS Cluster Best Paper Award, the INFORMS Data Science Workshop Best Student Paper Award and Best Paper Runner-up recognition, second prize in the INFORMS Revenue Management and Pricing Data-Driven Challenge, and the CBA Foundation Research Excellence Award for Assistant Professors.
I have received the Trammell/CBA Foundation Teaching Award for Assistant Professors and have been named five times to the McCombs Faculty Honor Roll for highest-rated faculty in teaching evaluations. I designed and teach the first foundational generative AI course for business students at McCombs.
I welcome research collaborations and conversations about shared interests. Feel free to email me.