Terrence Neumann
PhD Student at the University of Texas at Austin.
About me
I am a fifth-year PhD candidate at the University of Texas at Austin studying Information Systems, advised by Maria De-Arteaga and Yan Leng. Throughout my PhD, I’ve been fortunate to collaborate with and learn from great researchers like Sina Fazelpour, Matt Lease, and Maytal Saar-Tsechansky.
I’m interested in research questions at the intersection of AI & Society, and I use approaches from statistics and machine learning to answer these questions. My proposed dissertation, Sociotechnical Controls for Mitigating AI Risk in the Absence of Ground Truth, develops conceptual frameworks, statistical tests, and technical mitigations that help organizations anticipate and reduce risks—such as bias and uncertain ROI—when deploying AI in settings where the ‘right’ answer depends on human judgment and social context.
My path to academia included working as a Data Scientist at the University of Chicago Crime Lab, where I was fortunate to collaborate with exceptional researchers Jens Ludwig and Max Kapustin. Prior to that, I received a MS in Analytics from Northwestern University and a BA in Economics and Mathematics from Indiana University, Bloomington. Outside of research, I love to run (ran https://gobeyondracing.com/races/stumptown-trail-runs/), cook, go to concerts, and play the guitar.