About

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.

News

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 XAI” 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.

Oct ‘23.   Our joint work “A critical survey on fairness benefits of XAI” with L. Deck, M. De-Arteaga, and N. Kuehl was accepted to the XAIA Workshop @ NeurIPS ‘23.

Oct ‘23.   I started a postdoc position at UT Austin, working closely with Maria De-Arteaga on clinical human-AI decision-making.

Oct ‘23.   I defended my PhD thesis at KIT with the highest distinction (summa cum laude) 🎉