Swabha Swayamdipta is a postdoctoral researcher at the Allen Institute for AI and soon-to-be the Gabilan Assistant Professor and an Assistant Professor of Computer Science at the University of Southern California (starting Fall 2022). Her research interests are in natural language processing, with a focus on studying data distributions to automatically uncover redundancies, annotation and collection artifacts in data, which result in undesirable model biases. Swabha received her PhD from Carnegie Mellon University, and holds a Masters degree from Columbia University. Her work has received an outstanding paper award at NeurIPS 2021 and an honorable mention award for the best paper at ACL 2020.