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.

Interests

Large-Scale Data Systems
Graphs Processing
Computational Biology

Education

PhD in Computer Science, 2018

Stony Brook University

Media and Awards

Awards

NSF CAREER: FACULTY EARLY CAREER DEVELOPMENT AWARD 2024
IEEE-CS Early Career Researchers Award for Excellence in High Performance Computing 2023
Catacosinos Fellowship for Excellence in Computer Science Research 2018
Best paper award at FAST 2016
Runners-Up to the best paper award at FAST 2015

Grants

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

Media

Projects

A Compact, Dynamic, and Distributed GPU Data Structure Library

Fast and Space-Efficient In-Memory Indexes (Hash Tables, B-trees)

Scalable and Real-Time Stream Monitoring using External Memnory

A Comprehensive Dynamic-Graph System for Modern Applications

Scalable, Real-Time, and Information-Rich Sequence Search Over SRA

Adaptive and High-performance Filters for Modern Workloads

Recent & Upcoming Talks

Dynamic Graphs: Containers, Frameworks, and Benchmarks

Mar 2, 2025 4:10 PM — 4:10 PM Las Vegas, Nevada US

Data Systems at Scale

Nov 1, 2024 4:06 PM — 4:06 PM Merced, California US

Adaotive Quotient Filters: How to Learn from Your Mistakes

Jul 3, 2024 3:58 PM — 3:58 PM Shonan, Japan

Beyond Bloom: A Tutorial on Future Feature-Rich Filters

Jun 14, 2024 3:50 PM — 3:50 PM Santiago, Chile

BP-tree: Overcoming the Point-Range Operation Tradeoff for In-Memory B-trees

Feb 9, 2024 3:44 PM — 3:44 PM Kirkland, Washington US

See all events

Featured Publications

Yuvaraj Chesetti, Benwei Shi, Jeff M. Phillips, Prashant Pandey

July, 2025 SIGMOD 2025

Zombie Hashing: Reanimating Tombstones in a Graveyard

Richard Wen, Hunter McCoy, David Tench, Guido Tagliavini, Michael Bender, Alex Conway, Martin Farach-Colton, Rob Johnson, Prashant Pandey

June, 2025 SIGMOD 2025

Adaptive Quotient Filters

Hunter McCoy, Prashant Pandey

March, 2024 PPOPP 2024

Gallatin: A General-Purpose GPU Memory Manager

Prashant Pandey, Michael Bender, Alex Conway, Martin Farach-Colton, William Kuszmaul, Guido Tagliavini, Rob Johnson

March, 2023 SIGMOD 2023

IcebergHT: High Performance Hash Tables Through Stability and Low Associativity

Prashant Pandey, Fatemeh Almodaresi, Michael A. Bender, Michael Ferdman, Rob Johnson, and Rob Patro

July, 2018 RECOMB 2018, Cell Systems 2018

Mantis: A Fast, Small, and Exact Large-Scale Sequence-Search Index

Prashant Pandey, Michael A. Bender, Rob Johnson, and Rob Patro

July, 2017 SIGMOD 2017

A General-Purpose Counting Filter: Making Every Bit Count

All Publications

Yuvaraj Chesetti, Prashant Pandey (2025). Evaluating Learned Indexes for External-Memory Joins. ACDA 2025.

Yuvaraj Chesetti, Benwei Shi, Jeff M. Phillips, Prashant Pandey (2025). Zombie Hashing: Reanimating Tombstones in a Graveyard. SIGMOD 2025.

PDF Code Project

Richard Wen, Hunter McCoy, David Tench, Guido Tagliavini, Michael Bender, Alex Conway, Martin Farach-Colton, Rob Johnson, Prashant Pandey (2025). Adaptive Quotient Filters. SIGMOD 2025.

PDF Cite Code Project

Brian Wheatman, Xiaojun Dong, Zheqi Shen, Laxman Dhulipala, Jakub Łącki, Prashant Pandey, Helen Xu (2024). BYO: A Unified Framework for Benchmarking Large-Scale Graph Containers. VLDB 2024.

Code Project

Prashant Pandey, Martin Farach-Colton, Niv Dayan, Huanchen Zhang (2024). Beyond Bloom: A Tutorial on Future Feature-Rich Filters. SIGMOD 2024.

PDF Cite Project

See all publications