Prashant Pandey

Prashant Pandey

Assistant Professor

Northeastern University

Biography

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 applies to high-performance computing, 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 obtained my PhD in Computer Science at Stony Brook University in 2018.

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

I am recruiting one Ph.D. student at Northeastern University in Boston for Fall 2026. Specifically, I am looking for students who want to work on building large-scale and distributed systems for computational biology. Drop me a note if you are interested and/or have prior experience. Also, mention my name in your application.
Interests
  • Large-Scale Data Systems
  • Graphs Processing
  • Computational Biology
Education

  • PhD in Computer Science, 2018

    Stony Brook University

Media and Awards

Grants

  • NSF CSSI Elements (2025)
  • NSF CAREER Award (2024)
  • One Utah Data Science Hub Seed Grant (2024)
  • DOE Exascale Computing Project (ECP) Award (2022)

Awards

Media

Recent & Upcoming Talks

Vector Search for Large-Scale Genomic Discovery
Jul 18, 2025 — Vancouver, Canada
Slides
From Hash Tables to B-trees: Rethinking Core Data Structures for Scalable Performance
May 2, 2025 10:19 AM — 10:19 AM Banglore India
Slides
Dynamic Graphs: Containers, Frameworks, and Benchmarks
Mar 2, 2025 4:10 PM — 4:10 PM Las Vegas, Nevada US
Slides
Data Systems at Scale
Nov 1, 2024 4:06 PM — 4:06 PM Merced, California US
Slides
Adaptive Quotient Filters: How to Learn from Your Mistakes
Jul 3, 2024 3:58 PM — 3:58 PM Shonan, Japan
Slides
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All Publications

Yuvaraj Chesetti, Navid Eslami, Huanchen Zhang, Niv Dayan, Prashant Pandey (2026). Aeris Filter: A Strongly and Monotonically Adaptive Range Filter. SIGMOD 2026.

Project

Andrew Krapivin, Aaditya Rangarajan, Alex Conway, Martin Farach-Colton, Rob Johnson, Prashant Pandey (2026). Breadcrumb Filters: Fast Fully Featured Filters. SIGMOD 2026.

Project

Hunter McCoy, Prashant Pandey (2026). WarpSpeed: A High-Performance Library for Concurrent GPU Hash Tables. ALENEX 2026.

PDF Code Project

Saurabh Raje, Hunter McCoy, Atanas Rountev, Prashant Pandey, P. Sadayappan (2025). FaSTCC: Fast Sparse Tensor Contractions on CPUs. SC 2025.

PDF Code Project

Yicong Luo, Senhe Hao, Brian Wheatman, Prashant Pandey, Helen Xu (2025). Bridging Cache-Friendliness and Concurrency: A Locality-Optimized In-Memory B-Skiplist. ICPP 2025.

PDF Code Project

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Teaching

Courses I Teach

Students & Postdocs

Contact