Kexin Rong

Kexin Rong is an Assistant Professor in the School of Computer Science at Georgia Tech, leading the D2I Lab as part of the Georgia Tech Database Group. She also holds an affiliation with VMware Research Group by Broadcom.

Education:

• Ph.D. in Computer Science (2021) from Stanford University, advised by Peter Bailis and Philip Levis
• B.S. in Computer Science (2015) from California Institute of Technology

Research Interests focus on democratizing data science through systems that integrate database management, machine learning, and human-computer interaction. Key projects include SketchQL for sketch-based video retrieval, Inshrinkerator for deep learning checkpoint compression, and Lotus for ML preprocessing pipeline characterization.

Scientific Awards include

• Amazon Research Award (2024)
• NSF Awards #2335881 (2024) and #2333737 (2023)
• Catherine M. and James E. Allchin Early Career Professorship (2022)
• SIGMOD Distinguished PC Award (2024)
• SIGMOD Jim Gray Doctoral Dissertation Award Honorable Mention (2022)

Advising includes

• Ph.D. students: Rajveer Bachkaniwala, Hongbin Zhong
• Co-advised students: Hantian Zhang (with Xu Chu), Renzhi Wu (with Xu Chu)
• Former Ph.D. advisee: Peng Li (2023 graduate)

Lab & Collaborations: Leads the D2I Lab at Georgia Tech, which has received funding from NSF and Bosch Research. The lab actively collaborates with institutions like Stanford University and contributes to open-source projects including MacroBase and ASAP.