CV
PhD student in Information Systems Engineering at Indiana University Bloomington.
Contact Information
| Name | Skyler Ruiter |
| Professional Title | PhD Student |
| [email protected] |
Professional Summary
PhD student in Intelligent Systems Engineering at Indiana University Bloomington, working on high-performance computing, data compression, and sparse matrix storage.
Experience
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2024 - present Bloomington, IN
Graduate Research Assistant
Indiana University — FZ Compression Project
- Developed FZGPUModules, a modular heterogeneous framework for customizable graph-composable compression pipelines for analytical workflows
- Contributed to the IU FZ team compressor development targeting CPU and GPU architectures
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2023 - 2023 Albuquerque, NM
Research Intern
Sandia National Laboratories
- Worked on the E3SM atmospheric model (HOMME — High-Order Method Modeling Environment)
- Gained experience with large-scale scientific computing and performance optimization
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2021 - 2023 Allendale, MI
Undergraduate Research Assistant
Grand Valley State University — Applied Computing Institute
- Developed IVSparse library: novel sparse matrix formats (VCSC, IVCSC) for highly redundant data
- Presented at IEEE BigData ‘24, Data Compression Conference ‘24, Grand Rapids Tech Week ‘24
Education
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2024 - present Bloomington, IN
PhD
Indiana University Bloomington
Intelligent Systems Engineering
- Advisor: Dr. Fengguang Song
- FZ Compression Researcher
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2020 - 2024 Allendale, MI
B.S.
Grand Valley State University
Computer Science
- Research: Sparse matrix compression for single-cell omics data
- Mentors: Dr. Zachary DeBruine, Dr. Erin Carrier
Publications
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2025 FZModules: A Heterogeneous Computing Framework for Customizable Data Compression Pipelines
SC Workshops '25 (DRBSD-11)
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2024 Value-Compressed Sparse Column (VCSC): Sparse Matrix Storage for Single-cell Omics Data
IEEE International Conference on Big Data (BigData '24)
Skills
Programming (): C/C++, CUDA, Python, CMake, Bash, Spack, Rust, PyTorch, NCCL, OpenMP, MPI, Kokkos, CUDASTF
Research Areas (): HPC, Data Compression, Sparse Matrices, GPU Computing, Scientific Computing