Shreya Shankar is a PhD student in computer science at UC Berkeley, working on data management for machine learning and AI. Her research creates practical tools and frameworks that help people build reliable ML systems, with recent work on interfaces and systems for complex unstructured data analysis. Shreya’s work appears in top data management and HCI venues like SIGMOD, VLDB, CIDR, CSCW and UIST, and she co-organizes the DEEM workshop at SIGMOD. She is supported by the NDSEG Fellowship. Prior to Berkeley, she worked as an ML engineer after completing her B.S. in computer science at Stanford University. In her free time, she enjoys roasting coffee and is actively trying to reduce her Twitter usage.