Jason Mohoney

I am a postdoc in the Data Systems Group at MIT advised by Tim Kraska and Sam Madden. I completed my Ph.D. at UW-Madison advised by Theodoros Rekatsinas and Shivaram Venkataraman. My research interests lie in the intersection of systems, databases, and artificial intelligence.

Publications

Tressoir: Unifying Online, Offline, and HIL Design and Evolution of Multi-Agent Systems via Interpretable Blueprints

Amadou Latyr Ngom, Ziniu Wu, Jason Mohoney, James Moore, Alex Zhang, Samuel Madden, Tim Kraska

CAIS 2026
An Analysis Graph for Statistical Genetics Agents

Stephen Dorn, Jason Mohoney, Tim Kraska, Samuel Madden, Noah Zaitlen, Margaux Hujoel

BioDMS Workshop @ VLDB 2026 PDF
Chronos: Efficient Bolt-on Branching Across Data Stores for Stateful Agentic Applications

Xinjing Zhou, Jason Mohoney, Samuel Madden, Michael Stonebraker, Lei Cao

arXiv preprint PDF
Archi: Agentic Operations at the CMS Experiment

Pietro Lugato, Luca Lavezzo, Jason Mohoney, et al.

arXiv preprint PDF Code

Quake: Adaptive Indexing for Vector Search

Jason Mohoney, Devesh Sarda, Mengze Tang, Shihabur Rahman Chowdhury, Anil Pacaci, Ihab F. Ilyas, Theodoros Rekatsinas, Shivaram Venkataraman

OSDI 2025 PDF arXiv Code Slides Video
I/O Minimization for Machine Learning Systems

Jason Mohoney

Ph.D. Thesis, UW-Madison
Armada: Memory-Efficient Distributed Training of Large-Scale Graph Neural Networks

Roger Waleffe, Devesh Sarda, Jason Mohoney, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Theodoros Rekatsinas, Shivaram Venkataraman

arXiv preprint PDF

Optimistic Asynchrony Control: Achieving Synchronous Convergence With Asynchronous Throughput for Embedding Model Training

Roger Waleffe, Jason Mohoney

WANT Workshop @ ICML 2024
Incremental IVF Index Maintenance for Streaming Vector Search

Jason Mohoney, Anil Pacaci, Shihabur Rahman Chowdhury, Umar Farooq Minhas, Jeffrey Pound, Cedric Renggli, Nima Reyhani, Ihab F. Ilyas, Theodoros Rekatsinas, Shivaram Venkataraman

arXiv preprint PDF

High-Throughput Vector Similarity Search in Knowledge Graphs

Jason Mohoney, Anil Pacaci, Shihabur Rahman Chowdhury, Ali Mousavi, Ihab F. Ilyas, Umar Farooq Minhas, Jeffrey Pound, Theodoros Rekatsinas

SIGMOD 2023, Industry Track PDF arXiv
MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks

Roger Waleffe, Jason Mohoney, Theodoros Rekatsinas, Shivaram Venkataraman

EuroSys 2023 PDF arXiv Code
Fact Ranking over Large-Scale Knowledge Graphs with Reasoning Embedding Models

Hongyu Ren, Ali Mousavi, Anil Pacaci, Shihabur R. Chowdhury, Jason Mohoney, Ihab F. Ilyas, Yunyao Li, Theodoros Rekatsinas

IEEE Data Engineering Bulletin PDF

Marius: Learning Massive Graph Embeddings on a Single Machine

Jason Mohoney, Roger Waleffe, Yiheng Xu, Theodoros Rekatsinas, Shivaram Venkataraman

OSDI 2021 PDF arXiv Code Slides Video
Demo of Marius: A System for Large-scale Graph Embeddings

Anze Xie, Anders Carlsson, Jason Mohoney, Roger Waleffe, Shanan Peters, Theodoros Rekatsinas, Shivaram Venkataraman

VLDB 2021, Demo PDF Code Video

Carbon impurity measurements in the HSX stellarator

J. M. Mohoney, S. T. A. Kumar, K. M. Likin, D. T. Anderson

APS Division of Plasma Physics Meeting 2017, Poster