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.
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
Teaching Assistant
Sep 2023 - PresentUniversity of Chicago Department of Computer Science · Part-time
Quantitative Researcher - University of Chicago Project Lab
Oct 2025 - Dec 2025Bank of America
Lead Residential Assistant
2023 - 2024University of Chicago · Full-time
Teaching Assistant
Sep 2022 - Dec 2023University of Chicago Department of Mathematics
03 Research + Teaching
Research + Teaching
Research in database systems and GPU compression, plus teaching in computer science and mathematics.
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
Teaching
- Winter 2026: CMSC 235 - Databases Systems
- Fall 2025: CMSC 141 - Intro to CS I
- Spring 2025: CMSC 235 - Databases Systems
- Winter 2025: CMSC 142 - Intro to CS II
- Fall 2024: CMSC 144 - Systems Programming II
- Spring 2024: CMSC 235 - Databases Systems
- Fall 2023: CMSC 143 - Systems Programming I
- Fall 2023: Math 131 - Elem Functions and Calculus I
- Spring 2023: Math 159 - Intro to Proofs in Analysis
- Winter 2023: Math 159 - Intro to Proofs in Analysis
- Fall 2022: Math 159 - Intro to Proofs in Analysis
Advisors + Labs
- Professor Aaron Elmore (ChiData Lab, University of Chicago)
- Professor Anastasia Ailamaki (DIAS Lab, EPFL)
04 Projects
Projects
277
contributions