Prashant Pandey

Prashant Pandey

Assistant Professor

University of Utah

Biography

I am an Assistant Professor in the School of computing at the University of Utah. I co-direct the UtahDB Lab. I am also a core member of Utah Center For Data Science.

My goal as a researcher is to advance the theory and practice of resource-efficient data structures and employ them to democratize complex and large-scale data analyses. I work on building tools for large-scale data management problems across computational biology, stream processing, and storage.

Previously, I did a postdoc at UC Berkeley working with Prof. Aydin Buluc and Prof. Katherine Yelick. Prior to that, I spent one year as a Postdoc at Carnegie Mellon University working with Prof. Carl Kingsford. I obtained my Ph.D. in Computer Science at Stony Brook University, and defended my dissertation, Fast and Space-Efficient Maps: Shrinking Big Data Down to Size. At Stony brook University, I was co-advised by Prof. Michael Bender and Prof. Rob Johnson. (Dissertation committee: Mike Ferdman, Rob Patro, Guy Blelloch.)

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

I’m looking for self-motivated students. Drop me a note if you want to do cool research, run/hike in the mountains, and enjoy the world famous ski in Salt Lake City.

Interests
  • Data Structures for Big Data
  • Graphs Processing
  • Computational Biology
  • Scalable Graph Neural Networks
Education
  • PhD in Computer Science, 2018

    Stony Brook University

Recent & Upcoming Talks

Scalability Challenges in Large-Scale Sequence Search
Data Systems at Scale: Scaling Up by Scaling Down and Out
Time to Change Your Filter

Recent Publications

(2022). High-Performance Filters for GPUs. PPOPP 23.

(2022). Distance and Time Sensitive Filters for Similarity Search in Trajectory Datasets. APOCS 23.

(2022). IcebergHT: High Performance PMEM Hash Tables Through Stability and Low Associativity. SIGMOD 2023.

(2022). Using Advanced Data Structures to Enable Responsive Security Monitoring. Cluster Computing 2022.

PDF Cite Project

(2022). An Incrementally Updatable and Scalable System for Large-Scale Sequence Search using the Bentley-Saxe Transformation. BIOINFORMATICS 2022.

PDF Cite Code Project

Students

  • Hunter McCoy PhD (Started Fall 2022)
  • Manoj Marneni MS (Started Fall 2022)
  • Alex Tokita BS (Started Fall 2022)
  • Richard Lettich BS UC Berkeley (Started Fall 2022)

Academic Service

2023

  • PC: VLDB 2023, SIGMOD ARC 2023, SPAA 2023, IPDPS 2023
  • External Reviewer: SODA 2023
  • Journal of Computational Biology (2023)

2022

  • PC: IEEE BigData 2022, ACM BCB 2022, APOCS 2022, IPDPS 2022
  • External Reviewer: FAST 2022
  • Oxford BIOINFORMATICS (2022)
  • Journal of Computational Biology (2022)
  • Transactions on Knowledge and Data Engineering (TKDE) (2022)

2021

  • PC: ACDA 2021, RECOMB-Seq 2021, IPDPS 2021, ALENEX 2021
  • Subreviewer: ISMB 2021, STACS 2021, HPEC 2021
  • Session Chair: ALENEX 2021
  • Journal of Computational Biology (2021)
  • Transactions on Knowledge and Data Engineering (TKDE) (2021)
  • IEEE Access (2021)

2020

  • PC: EUROPAR 2020, RECOMB-Seq 2020
  • Subreviewer: RECOMB 2020
  • Oxford BIOINFORMATICS (2020)
  • Transactions on Parallel and Distributed Systems (TPDS) (2020)

2019

  • PC: ESA 2019
  • Subreviewer: WABI 2019, CIAC 2019
  • IEEE Access (2019)
  • Oxford BIOINFORMATICS (2019)
  • Journal of Experimental Algorithms (JEA) (2019)

2018

  • Oxford BIOINFORMATICS (2018)
  • Transactions on Databases (TODS) (2018)

Contact