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  • DePaul University
  • Chicago, Illinois

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@radiant-systems-lab

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nakasan617/README.md

PROFILE

Hi, I'm Yuta Nakamura. I'm a Research Scientist at Meta Platforms (Ads), working on incorporating AI to deliver better ad outcomes. I hold a PhD in Computer Science from DePaul University.

I have a passion for coming up with strategy — whether it's designing algorithms, playing chess, reading, or playing poker. Outside of work, I enjoy running and scuba diving.

🌐 Personal Website

RESEARCH

My PhD work focused on program analysis, system-level provenance graphs, and differential analysis of execution traces — with a deep interest in understanding how systems behave and where they break.

PUBLISHED WORK

Accurate Differential Analysis using Record and Selective Replay (2025)

SSDBM 2025 — 37th International Conference on Scalable Scientific Data Management DOI

Accurate Path Prediction of Provenance Traces (2024)

CIKM 2024 — 33rd ACM International Conference on Information and Knowledge Management DOI

Differential Analysis for System Provenance (2024)

ICDE 2024 PhD Symposium — 40th IEEE International Conference on Data Engineering DOI

Efficient Differencing of System-level Provenance Graphs (2023)

CIKM 2023 — 32nd ACM International Conference on Information and Knowledge Management DOI

Provenance-based Workflow Diagnostics Using Program Specification (2022)

HiPC 2022 — 29th IEEE International Conference on High Performance Computing DOI

Content-Defined Merkle Trees for Efficient Container Delivery (2021)

arXiv preprint arXiv

Efficient Provenance Alignment in Reproduced Executions (2020)

TaPP 2020 — 12th International Workshop on Theory and Practice of Provenance USENIX

HOBBIES

I love studying and playing chess — if you're interested, challenge me! My highest rating is 1650 for rapid (10 min) on chess.com.

     

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