Curriculum Vitae
Download full CV (PDF) Updated September 2026
Education
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2022 – May 2027 (expected)
PhD in Computer Science
Saint Louis University
- Advisor: Dr. Tae-Hyuk Ahn
- Dissertation: Multimodal Deep Learning and HPC for Scalable Metagenomics
- Advanced to candidacy: April 2025
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2024
Open Science Grid (OSG) School
University of Wisconsin–Madison
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2020 – 2021
MS in Bioinformatics and Computational Biology
Saint Louis University
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2014 – 2017
BS in Sociology
Colorado State University
Experience
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2020 – Present
Graduate Research Assistant
BioHPC Lab (Ahn Lab), Saint Louis University
- Scalable multimodal ML and HPC for large biological datasets; privacy evaluation of biomedical ML models
- RNA-seq analysis for an Angelman syndrome mouse-model study (Nature, 2026)
- First haplotype-resolved assembly of Saccharomyces bayanus
- GPU-accelerated (CUDA) CT image quality control
- Metagenomic analysis through CAMDA (Critical Assessment of Massive Data Analysis)
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Jul 2025 – May 2026
Graduate Assistant
Reinert Center for Transformative Teaching and Learning, SLU
- Supported faculty and graduate students in adopting evidence-based teaching practices and learning technologies
- Designed and facilitated instructional-development workshops and resources
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2023 – 2024
Teaching Assistant
Saint Louis University
- Data Structures; Distributed Computing; Concurrent and Parallel Programming; Introduction to Bioinformatics
Awards & honors
2026
Alpha Sigma Nu
Honor Society of Jesuit Colleges and Universities; inducted February 2026.
2025
Runner-Up Best Paper Award
DRBSD Workshop, SC'25, for "Evaluating Accuracy and Performance Tradeoffs in GPU Accelerated Single Cell RNA-seq Analysis."
2020
Best Presentation Award
CAMDA, ISMB 2020.
2020
Conference Fellowship
International Society for Computational Biology (ISCB).
2019 – 2020
BITWISE Scholarship
National Science Foundation.
Technical skills
- Programming
- HPC & systems
- Machine learning
- Bioinformatics
- Analysis & visualization