Lin Ma
Scholar

Lin Ma

Google Scholar ID: UU9gkwEAAAAJ
University of Michigan
DatabasesDatabase Management SystemsMachine Learning for Systems
Citations & Impact
All-time
Citations
1,158
 
H-index
14
 
i10-index
16
 
Publications
20
 
Co-authors
11
list available
Publications
1 items
Resume (English only)
Academic Achievements
  • Publications: 'Vortex: Overcoming memory capacity limitations in gpu-accelerated large-scale data analytics' and other academic papers.
Research Experience
  • Assistant Professor at the University of Michigan, Ann Arbor, August 2023 – Present; Software Engineer at Databricks, Inc., July 2022 – August 2023; Post Doctoral Fellow at Carnegie Mellon University, September 2021 – July 2022; Research Intern at Microsoft Research, Data Management, Exploration, and Mining Group, May 2018 – August 2018.
Education
  • Ph.D.: Carnegie Mellon University (CMU), advised by Andy Pavlo; Specific details on time and major not provided.
Background
  • Research Interests: Leverages artificial intelligence (AI) and novel hardware (GPUs) to make database management systems (DBMSs) simpler and more efficient. Professional Field: Computer Science and Engineering.
Miscellany
  • Personal interests and other information not provided.