Tanya Goyal

Tanya Goyal is an assistant professor in the Department of Computer Science. Previously, she was a postdoctoral scholar at Princeton Language and Intelligence Center (2023-2024). Her research interests are primarily in the field of natural language processing. Problems that she is currently excited about include: reliable and sustainable evaluation frameworks for large language models (LLMs); factuality assessment and improvement of LLMs; and understanding LLM behaviors as a function of training data and/or alignment strategies.

Goyal obtained her Ph.D. in computer science at the University of Texas at Austin in 2023, advised by Greg Durrett. Her Ph.D. research focused on building evaluation tools for text generation models, and was awarded UTCS’s Bert Kay Dissertation Award. Before that, she learned how to math at the Indian Institute of Technology, Guwahati (maths and computing, B.Tech 2011-2015).