Prashant Pandey

Assistant Professor, Khoury College of Computer Sciences, Northeastern University, Boston.

prof_pic.jpg

p.pandey@northeastern.edu

440 Huntington Avenue

Boston, MA 02115

I am an Assistant Professor in the Khoury College of Computer Sciences Northeastern University, Boston. I co-direct the Data Lab. I am also an Affiliate Faculty in the Performance and Algorithms Research Group at Berkeley Lab.

My goal as a researcher is to build scalable data systems with strong theoretical guarantees and employ them to democratize next-generation data analyses. My work combines filters and compact data structures, I/O-efficient algorithms, and high-performance and GPU computing, applied across computational biology, stream processing, and storage.

Previously, I was a Research Scientist at VMware Research for a year. Prior to that, I did postdocs at UC Berkeley/LBL and Carnegie Mellon University.

I love outdoors and occasionally like to scribble my experience in a blog.

news

Jul 24, 2026 Our paper To Adapt or Not to Adapt, That is the Ski Question was selected as Best of SIGMOD 2026! :tada:
Jul 17, 2026 Hunter McCoy successfully defended his Ph.D. thesis! :tada: He is joining Amazon Redshift. Congratulations, Dr. McCoy!
Jul 02, 2026 GPU-Accelerated ANNS: Quantized for Speed, Built for Change (Jasper) was accepted to VLDB 2026! :tada:
Jun 01, 2026 Three papers accepted to SIGMOD 2026: Aeris Filter, Breadcrumb Filters, and To Adapt or Not to Adapt, That is the Ski Question. :tada:
Mar 26, 2026 Gave a talk, Filters and Adaptivity, at Boston University. [slides]

selected publications

  1. arXiv 2026
    InferScale: GPU-Native KV Injection for Personalized LLM Serving
    Peter Li and Prashant Pandey
    arXiv preprint arXiv:2607.27090, 2026
  2. SIGMOD 2026
    To Adapt or Not to Adapt, That is the Ski Question
    Yuvaraj Chesetti and Prashant Pandey
    In ACM Special Interest Group on Management of Data 2026, 2026
  3. SIGMOD 2026
    Breadcrumb Filters: Fast Fully Featured Filters
    Andrew Krapivin, Aaditya Rangarajan, Alex Conway, and 3 more authors
    In ACM Special Interest Group on Management of Data 2026, 2026
  4. VLDB 2026
    GPU-Accelerated ANNS: Quantized for Speed, Built for Change
    Hunter McCoy, Zikun Wang, and Prashant Pandey
    Proc. VLDB Endow., 2026
  5. SIGMOD 2025
    Adaptive Quotient Filters
    Richard Wen, Hunter McCoy, David Tench, and 6 more authors
    Proc. ACM Manag. Data, 2025
  6. SIGMOD 2023
    IcebergHT: High Performance Hash Tables Through Stability and Low Associativity
    Prashant Pandey, Michael A. Bender, Alex Conway, and 4 more authors
    Proc. ACM Manag. Data, 2023
  7. RECOMB 2018, Cell Systems 2018
    Mantis: A Fast, Small, and Exact Large-Scale Sequence-Search Index
    Prashant Pandey, Fatemeh Almodaresi, Michael A. Bender, and 3 more authors
    In Research in Computational Molecular Biology - 22nd Annual International Conference, RECOMB 2018, Paris, France, April 21-24, 2018, Proceedings, 2018
  8. SIGMOD 2017
    A General-Purpose Counting Filter: Making Every Bit Count
    Prashant Pandey, Michael A. Bender, Rob Johnson, and 1 more author
    In Proceedings of the 2017 ACM International Conference on Management of Data, SIGMOD Conference 2017, Chicago, IL, USA, May 14-19, 2017, 2017