What I Do: I'm a fourth-year Ph.D. student in the Machine Learning Group at MIT CSAIL, advised by Prof. Stefanie Jegelka and Prof. Phillip Isola.
My research interests broadly lie in multimodal representation learning, robustness, and out-of-distribution generalization. Recently, I have been thinking about the role of data from diverse modalities and its implications for unified architectures.
What I Love About Data Science: I value data science for its ability to rigorously quantify complex systems and uncover patterns that inform real-world decisions. It provides a framework for moving beyond intuitions, enabling interventions that are both measurable and impactful.
What Else: I love playing sports, especially baseball and squash, traveling, and painting. In my free time, I can be found trying different cuisines or exploring the city!