Jason Mohoney

Google Scholar, Github, Email: mohoney2 (at) wisc.edu

I am a 4th Year Ph.D. student at UW-Madison advised by Theodoros Rekatsinas and Shivaram Venkataraman. My undergraduate degree was in Applied Math, Engineering and Physics (AMEP). My research interests lie in the intersection of Systems, Machine Learning and Databases. I specialize in building resource-efficient and high-throughput systems for ML training and inference. I work on the graph learning system Marius.

Selected Publications

J. Mohoney, A. Pacaci, S.R. Chowdhury, A. Mousavi, I.F. Ilyas, U.F. Minhas, J. Pound, T. Rekatsinas | High-Throughput Vector Similarity Search in Knowledge Graphs | Sigmod Industry Track 2023
R. Waleffe, J. Mohoney, T. Rekatsinas, S. Venkataraman | MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks | EuroSys 2023
J. Mohoney, R. Waleffe, Y. Xu, T. Rekatsinas, S. Venkataraman | Marius: Learning Massive Graph Embeddings on a Single Machine | OSDI 2021

Experience

Research Internship | Apple | June 2022 - March 2023, June 2023 - Aug 2023
SWE Internship | Orfium | June 2019 - Aug 2019
SWE Internship | Delphix | June 2018 - May 2019

Awards

Apple Scholar in AI/ML - 2023
DeWitt Undergraduate Scholarship - 2018
Goldwater Scholarship Honorable Mention - 2018
Hilldale Undergraduate Research Fellowship - 2017