Shreya Shankar is a PhD student in computer science at UC Berkeley, advised by Dr. Aditya Parameswaran. Her research addresses data challenges in production ML pipelines through a human-centered lens, focusing on data quality, observability, and more recently, leveraging large language models for data preprocessing. Shreya's work has appeared in top data management and HCI venues, including SIGMOD, VLDB, CIDR, CSCW, and UIST. She is a recipient of the NDSEG Fellowship and co-organizes the DEEM workshop at SIGMOD, which focuses on data management in end-to-end machine learning. Prior to her PhD, Shreya worked as an ML engineer and completed her undergraduate degree in computer science at Stanford University. In her free time, she enjoys roasting coffee and is actively trying to reduce her Twitter usage.
