About Me
I am Ph.D. student in the database group at the University of Washington, advised by Professor Magdalena Balazinska. My research interests lie in the field of database systems. I work on video data management systems with the goal of enabling users to efficiently extract information from large quantities of video data.
Before UW I received a BSE in Computer Science from the University of Michigan in 2015 and then worked as a software engineer on Safari at Apple until 2018.
Projects
- VOCAL: Video Organization and Interactive Compositional AnaLytics (Vision Paper). Maureen Daum*, Enhao Zhang*, Dong He, Magdalena Balazinska, Brandon Haynes, Ranjay Krishna, Apryle Craig, Aaron Wirsing. CIDR 2022. ( paper ) *Both authors contributed equally to the paper
- DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation. Dong He, Maureen Daum, Walter Cai, Magdalena Balazinska. VLDB 2022. ( code, paper )
- VSS: A Storage System for Video Analytics. Brandon Haynes, Maureen Daum, Dong He, Amrita Mazumdar, Magdalena Balazinska, Alvin Cheung, Luis Ceze. SIGMOD 2021. ( code, paper )
- TASM: A Tile-Based Storage Manager for Video Analytics. Maureen Daum, Brandon Haynes, Dong He, Amrita Mazumdar, Magdalena Balazinska. ICDE 2021. ( code, paper )
- Magpie: Python at Speed and Scale using Cloud Backends. Alekh Jindal, K. Venkatesh Emani, Maureen Daum, Olga Poppe, Brandon Haynes, Anna Pavlenko, Ayushi Gupta, Karthik Ramachandra, Carlo Curino, Andreas Mueller, Wentao Wu, Hiren Patel. CIDR 2021. ( paper )
- VisualWorldDB: A DBMS for the Visual World. Brandon Haynes, Maureen Daum, Amrita Mazumdar, Magdalena Balazinska, Alvin Cheung, Luis Ceze. CIDR 2020. ( project, paper )