Jason Mohoney
Scholar

Jason Mohoney

Google Scholar ID: MT0bFLcAAAAJ
University of Wisconsin-Madison
SystemsDatabasesGraph LearningVector SearchIndexing
Citations & Impact
All-time
Citations
242
 
H-index
5
 
i10-index
4
 
Publications
10
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • - Apple Scholar in AI/ML - 2023
  • - DeWitt Undergraduate Scholarship - 2018
  • - Goldwater Scholarship Honorable Mention - 2018
  • - Hilldale Undergraduate Research Fellowship - 2017
  • - Selected Publications:
  • * Quake: Adaptive Indexing for Vector Search | OSDI 2025
  • * High-Throughput Vector Similarity Search in Knowledge Graphs | Sigmod Industry Track 2023
  • * MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks | EuroSys 2023
  • * Marius: Learning Massive Graph Embeddings on a Single Machine | OSDI 2021
Research Experience
  • - Research Internship at Apple | June 2022 - March 2023, June 2023 - March 2024
  • - SWE Internship at Orfium | June 2019 - Aug 2019
  • - SWE Internship at Delphix | June 2018 - May 2019
Education
  • Ph.D. from UW-Madison, advised by Theodoros Rekatsinas and Shivaram Venkataraman; currently a postdoc in the Data Systems Group at MIT, advised by Tim Kraska.
Background
  • Research interests: intersection of systems, databases, and artificial intelligence.
Miscellany
  • Service: Program Committee member for ICDE 2026, Reviewer for VLDB Journal 2025, and Program Committee member for SIGMOD 2025.