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

Interests

Large-Scale Data Systems
Graphs Processing
Computational Biology

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

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

Media

Recent & Upcoming Talks

Filters and Adaptivity

Mar 26, 2026 9:45 PM — 9:45 PM Boston University

Jasper: Updatable Approximate Nearest Neighbor Search on GPU

Dec 26, 2025 9:45 PM — 9:45 PM Google Research, NY

Memory Management and Dynamic Data Structures on GPUs

Oct 26, 2025 9:45 PM — 9:45 PM Simons Institute, UC Berkeley

Zombie hashing: Reanimating Tombstones in a Graveyard

Aug 22, 2025 9:45 PM — 9:45 PM Dagstuhl Germany 2025

Vector Search for Large-Scale Genomic Discovery

Jul 18, 2025 — Vancouver, Canada

See all events

All Publications

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

PDF Code Project

Yuvaraj Chesetti, Prashant Pandey (2026). To Adapt or Not to Adapt, That is the Ski Question. SIGMOD 2026.

PDF Code Project

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

PDF Code Project

Hunter McCoy, Zikun Wang, Prashant Pandey (2026). GPU-Accelerated ANNS: Quantized for Speed, Built for Change. arXiv 2026.

PDF Code

Jamshed Khan, Laxman Dhulipala, Prashant Pandey, and Rob Patro (2026). Faster and Scalable Parallel External-Memory Construction of Colored Compacted de Bruijn Graphs with Cuttlefish 3. RECOMB 2026.

PDF Code Project

See all publications