Interview with Aneesh Komanduri: Causality and generative modeling

In this interview series, we're meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. In this latest interview, we hear from Aneesh Komanduri about his research, some of the projects he's been involved in, future plans, and his experience at the AAAI/SIGAI Doctoral Consortium. Hi! I'm Aneesh, a final-year PhD student at the University of Arkansas, where I'm advised by Dr Xintao Wu. My research lies at the intersection of causal inference, representation learning, and generative modeling, with a broader focus on trustworthiness and explainability in artificial intelligence. My dissertation specifically explores two core areas: causal representation learning and counterfactual generative modeling.