01 About

Charles Benello

I am a master's student in Financial Mathematics at the University of Chicago, where I completed my undergraduate degree in Mathematics and Computer Science with a specialization in computer systems and a minor in Korean.

My academic and research background spans large-scale data processing, database internals, and high-performance systems, with a growing focus on applying these skills to quantitative finance. This summer, I am conducting research at EPFL under Professor Anastasia Ailamaki on GPU-accelerated compression techniques for analytical database systems.

Previously, I was a researcher at the ChiData Lab at the University of Chicago, working with Professor Aaron Elmore.

Financial MathematicsDatabase SystemsGPU CompressionQuantitative Research

Education

University of Chicago

Master's degree / Financial Mathematics

Jun 2025 - Dec 2026

University of Chicago

BS / Mathematics and Computer Science (Systems specialization); Minor in Korean

Sep 2021 - Jun 2025

Dean's List

St Paul's School

2015 - 2021

Mathematics: A*; Further Mathematics: A*; Computer Science: D1

Current Research

  • GPU-accelerated compression techniques for analytical database systems
  • Parallel compression algorithms optimized for modern hardware
  • Applying systems research to quantitative finance

02 Experience

Experience

Research Assistant

UChicago CS·Aug 2023 — Present

Researching query optimization and parallelizing external merge sort in the ChiData Lab under Professor Aaron Elmore.

  • Implemented Small String Optimization to reduce memory usage by 50% and improve query speed
  • Removed a 500MB CSV import limit in a Rust crate, increasing import speed by 50%

Skills

RustC++DuckDBQuery Optimization

03 Research + Publications

Research + Publications

Research in database systems and GPU compression, with publications in top-tier venues.

Research Focus

  • Large-scale data processing
  • Database internals
  • High-performance systems
  • GPU-accelerated compression

Research Highlights

  • Parallel compression algorithms optimized for modern hardware
  • Analytical and simulation-based performance models for GPU decompression
  • Resource contention modeling across I/O, decompression, and compute

Advisors + Labs

  • Professor Aaron Elmore (ChiData Lab, University of Chicago)
  • Professor Anastasia Ailamaki (DIAS Lab, EPFL)

Publications

CrocSort: Resource-Efficient, Skew-Resilient Parallel External Merge Sort

Riki Otaki*, Charles Benello*, Fuheng Zhao, Aaron J. Elmore, Goetz Graefe

PVLDB 19(1), 2026

* Equal contribution

Paper Title TBD (2)

Charles Benello, et al.

Venue TBD

Paper Title TBD (3)

Charles Benello, et al.

Venue TBD

Paper Title TBD (4)

Charles Benello, et al.

Venue TBD

04 Projects

Projects

294

contributions

Machine Learning
Machine Learning
Personal
Personal
Personal
Research
School
School
Teaching
Teaching
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