I’m a second-year PhD student at the McCombs School of Business Information, Risk, and Operations Management (IROM) Department. I’m fortunate to be advised by Maria De-Arteaga and Maytal Saar-Tsechansky.
New private investment in AI reached $93.5 billion US dollars in 2021. With recent advances in generative AI, many more people are interacting directly with algorithms than ever before. For instance, ChatGPT became the fastest ever digital product to reach one million unique users, doing so in its first five days online.
My research is focused on understanding the responsible use of AI, particularly in online media. Responsible AI use invokes notions of AI interpretability, fairness, safety, and privacy. I am particularly interested in responsible use of AI in situations where ground truth training labels are difficult or impossible to acquire. I am currently working on several projects in which I theoretically and empirically examine notions of fairness in AI-assisted fact-checking systems.
To solve these problems, I work with an interdisciplinary toolkit, using techniques from machine learning, natural language processing, causal inference, ethics, and network science.
In my spare time, I like to run around Austin, watch movies at AFS, and experiment with my ever growing guitar pedal collection.