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

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

Vector Search for Large-Scale Genomic Discovery

Jul 18, 2025 — Vancouver, Canada

From Hash Tables to B-trees: Rethinking Core Data Structures for Scalable Performance

May 2, 2025 10:19 AM — 10:19 AM Banglore India

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

Adaptive Quotient Filters: How to Learn from Your Mistakes

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

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

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.

Code

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

PDF Code Project

See all publications