Hi there! I am currently a postdoctoral research fellow at UT Austin, working closely with Maria De-Arteaga on clinical human-AI decision-making. My research generally addresses problems that arise when humans and AI systems interact, with a particular focus on fairness and transparency in high-stakes AI-informed decision-making.

My main objective is to contribute to the responsible design and deployment of AI systems, fostering a more equitable and just society. To this end, I employ a multidisciplinary approach that integrates novel AI techniques with insights derived from behavioral research, utilizing a mix of quantitative and qualitative methods.

I received my PhD from the Karlsruhe Institute of Technology (KIT) in Germany, where I wrote a dissertation “On the Interplay of Transparency and Fairness in AI-Informed Decision-Making.” I also hold a master’s degree in Operations Research from Georgia Tech. As a doctoral student, I was fortunate to do a research internship with Microsoft in Redmond, WA. Before embarking on my PhD journey, I worked for two years as a data scientist at IBM in New York.


Jul ‘24.   An extended version of our HHAI ‘23 paper got accepted at the JAIR special issue on Hybrid Human-Artificial Intelligence.

Jun ‘24.   Our joint work “I want it that way”: Enabling interactive decision support using large language models and constraint programming with C. Lawless, L. Le, K. Rowan, S. Sen, C. St Hill, J. Suh, and B. Sarrafzadeh got accepted at ACM TiiS.

May ‘24.   I received and accepted an offer as tenure-track assistant professor of responsible and explainable AI at the University of Groningen in the Netherlands, starting in spring ‘25 🎉

Apr ‘24.   Our CHI ‘24 paper Explanations, fairness, and appropriate reliance in human-AI decision-making won a best paper honorable mention award (top 5% of submissions) 🎉

Mar ‘24.   Our joint work A critical survey on fairness benefits of explainable AI with L. Deck, M. De-Arteaga, and N. Kuehl got accepted to ACM FAccT ‘24.

Jan ‘24.   Our joint work Explanations, fairness, and appropriate reliance in human-AI decision-making with M. De-Arteaga and N. Kuehl got accepted to ACM CHI ‘24.