World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
65
Citations
19061
World Ranking
2437
National Ranking
1221

Research.com Recognitions

  • 2017 - ACM Senior Member
  • 2010 - Fellow of Alfred P. Sloan Foundation

Overview

Luis Ceze is affiliated with the University of Washington in the United States. Their research spans multiple scientific domains, with a notable focus on molecular biology and computational applications involving DNA.

The scientist has published several recent papers, demonstrating active engagement in the interdisciplinary field of DNA data storage and molecular computing. Some of their recent papers include:

  • Probing the physical limits of reliable DNA data retrieval, 2020, Nature Communications
  • Synthetic DNA applications in information technology, 2022, Nature Communications
  • Quantifying molecular bias in DNA data storage, 2020, Nature Communications
  • Scaling DNA data storage with nanoscale electrode wells, 2021, Science Advances
  • Molecular-level similarity search brings computing to DNA data storage, 2021, Nature Communications

Their frequent co-authors reflect extensive collaboration within their research community. Prominent colleagues include Karin Strauß, Jeff Nivala, Karen Zhang, Kathryn J Doroschak, and Melissa Queen.

Luis Ceze's publications appear most often in venues such as Harvard Dataverse, arXiv (Cornell University), Nature Communications, bioRxiv (Cold Spring Harbor Laboratory), and Zenodo (CERN European Organization for Nuclear Research).

They work across several subfields including:

  • Molecular Biology
  • Social Psychology
  • Paleontology
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

Their research topics include:

  • Primate Behavior and Ecology
  • Molecular Biology Techniques and Applications
  • Evolution and Paleontology Studies
  • DNA and Biological Computing
  • Advanced biosensing and bioanalysis techniques
  • Modular Robots and Swarm Intelligence
  • Advanced Neural Network Applications

Throughout their career, Luis Ceze has received recognitions such as becoming an ACM Senior Member in 2017 and being named a Fellow of the Alfred P. Sloan Foundation in 2010.

Best Publications

  • TVM: an automated end-to-end optimizing compiler for deep learning

    Tianqi Chen;Thierry Moreau;Ziheng Jiang;Lianmin Zheng

  • EnerJ: approximate data types for safe and general low-power computation

    Adrian Sampson;Werner Dietl;Emily Fortuna;Danushen Gnanapragasam

  • Neural acceleration for general-purpose approximate programs

    Hadi Esmaeilzadeh;Adrian Sampson;Luis Ceze;Doug Burger

  • Neural Acceleration for General-Purpose Approximate Programs

    Hadi Esmaeilzadeh;Adrian Sampson;Luis Ceze;Doug Burger

  • Random access in large-scale DNA data storage

    Lee Organick;Siena Dumas Ang;Yuan Jyue Chen;Randolph Lopez

  • An Overview of the BlueGene/L Supercomputer

    N.R. Adiga;G. Almasi;G.S. Almasi;Y. Aridor

  • Approximate Storage in Solid-State Memories

    Adrian Sampson;Jacob Nelson;Karin Strauss;Luis Ceze

  • Architecture support for disciplined approximate programming

    Hadi Esmaeilzadeh;Adrian Sampson;Luis Ceze;Doug Burger

  • Molecular digital data storage using DNA

    Luis Ceze;Jeff Nivala;Karin Strauss;Karin Strauss

  • Bulk Disambiguation of Speculative Threads in Multiprocessors

    Luis Ceze;James Tuck;Josep Torrellas;Calin Cascaval

  • DMP: Deterministic Shared-Memory Multiprocessing

    J. Devietti;B. Lucia;L. Ceze;M. Oskin

  • A DNA-Based Archival Storage System

    James Bornholt;Randolph Lopez;Douglas Carmean;Luis Ceze

  • A DNA-Based Archival Storage System

    James Bornholt;Randolph Lopez;Douglas M. Carmean;Luis Ceze

  • DMP: deterministic shared memory multiprocessing

    Joseph Devietti;Brandon Lucia;Luis Ceze;Mark Oskin

  • EnerJ

    Unknown

  • CoreDet: a compiler and runtime system for deterministic multithreaded execution

    Tom Bergan;Owen Anderson;Joseph Devietti;Luis Ceze

  • POSH: a TLS compiler that exploits program structure

    Wei Liu;James Tuck;Luis Ceze;Wonsun Ahn

  • BulkSC: bulk enforcement of sequential consistency

    Luis Ceze;James Tuck;Pablo Montesinos;Josep Torrellas

  • DeLorean: Recording and Deterministically Replaying Shared-Memory Multiprocessor Execution Ef?ciently

    Pablo Montesinos;Luis Ceze;Josep Torrellas

  • Latency-tolerant software distributed shared memory

    Jacob Nelson;Brandon Holt;Brandon Myers;Preston Briggs

  • General-purpose code acceleration with limited-precision analog computation

    Renée St. Amant;Amir Yazdanbakhsh;Jongse Park;Bradley Thwaites

  • Learning to Optimize Tensor Programs

    Tianqi Chen;Lianmin Zheng;Eddie Q. Yan;Ziheng Jiang

  • Deterministic process groups in dOS

    Tom Bergan;Nicholas Hunt;Luis Ceze;Steven D. Gribble

  • Operating system implications of fast, cheap, non-volatile memory

    Katelin Bailey;Luis Ceze;Steven D. Gribble;Henry M. Levy

Frequent Co-Authors

Karin Strauss
Karin Strauss Microsoft (United States)
Dan Grossman
Dan Grossman University of Washington
Josep Torrellas
Josep Torrellas University of Illinois at Urbana-Champaign
Georg Seelig
Georg Seelig University of Washington
Arvind Krishnamurthy
Arvind Krishnamurthy University of Washington
Calin Cascaval
Calin Cascaval Google (United States)
Sergey Yekhanin
Sergey Yekhanin Microsoft (United States)
Alvin Cheung
Alvin Cheung University of California, Berkeley
Carlos Guestrin
Carlos Guestrin Stanford University
José E. Moreira
José E. Moreira IBM (United States)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens doors to flexible education and diverse careers. Many students are now considering online programs for their affordability and accessibility. If cost is a concern, you might want to look into the cheapest online college options, which make quality education accessible without a hefty price tag.

Not everyone has a perfect academic record, and fortunately, there are top college that accepts low gpa programs available online. These institutions recognize potential beyond grades and offer supportive learning environments.

For those interested in multidisciplinary fields, earning an environmental science degree can lead to impactful roles in technology, sustainability, policy, and research.

Ambitious learners hoping to fast-track their tech careers can consider the fast track computer science degree route. Accelerated online programs can help you earn your degree more quickly, getting you into the workforce sooner.

Best Scientists Citing Luis Ceze

Trending Scientists

Recently Published Articles