PhD Candidate · Computer Science · Saint Louis University
I am a PhD candidate in the Department of Computer Science at Saint Louis University, working with Dr. Tae-Hyuk Ahn in the BioHPC Lab. My dissertation, Multimodal Deep Learning and High-Performance Computing for Scalable Metagenomics, builds methods that stay accurate and tractable on terabyte-scale sequencing data. I advanced to candidacy in April 2025.
My work combines GPU-accelerated computing, privacy-preserving machine learning, and large-scale genomic analysis, including what membership and property inference attacks reveal about models trained on sensitive biomedical data.
Genome assembly and metagenomic profiling, including the first haplotype-resolved assembly of Saccharomyces bayanus.
Now Building multimodal deep learning for terabyte-scale metagenomic data and recovering the first metagenome-assembled genomes from the historic Morrow Plots.
GPU-accelerated pipelines for large biological datasets, with orders-of-magnitude speedups for CT image quality control.
Now Running closed-loop autonomous-driving simulation as a resilient, schedulable HPC workload (HPC-CARLA).
Privacy-preserving machine learning, deep learning for biomedical imaging, and memory-efficient anomaly detection (Wavelet-Enhanced PaDiM).
Now Membership and property inference attacks on multimodal biomedical ML models.