Expected May 2028
PhD in Computer Science
Virginia Tech
Blacksburg, Virginia
Research areas: High-Performance Computing, Numerical Optimization, and Transformer Models.

My research has taken me from finding cancer-linked mutations on supercomputers to training transformers across GPUs. I’m interested in what makes these computations practical at scale. At Virginia Tech’s Distributed Systems & Storage Laboratory, I’m pursuing a PhD in Computer Science and working on more efficient machine-learning systems.
Expected May 2028
Virginia Tech
Blacksburg, Virginia
Research areas: High-Performance Computing, Numerical Optimization, and Transformer Models.
Jul 2026
Virginia Tech
Blacksburg, Virginia
Thesis: Sparsity-Driven Search for Multi-Hit Genetic Mutation Combinations in Cancer.
May 2023
Virginia Tech
Blacksburg, Virginia
May 2023
Virginia Tech
Blacksburg, Virginia
Minor: Mathematics
Aug 2026 – Present
Graduate Research Assistant
Blacksburg, Virginia
Developing optimizers and distributed systems for more efficient transformer training.
Mar 2022 – Jul 2026
Graduate Research Assistant
Blacksburg, Virginia
Scaled genomic analysis on supercomputers and adapted scientific workloads for edge devices.
May 2021 – May 2022
Undergraduate Research Assistant
Blacksburg, Virginia
Built tools for researchers to guide how machine learning models group and sort images.
Jan 2020 – May 2022
Undergraduate Research Assistant
Blacksburg, Virginia
Used numerical methods and machine learning to reduce the cost of quantum chemistry simulations.
May 2026 – Aug 2026
Student Intern
Oak Ridge, Tennessee
Developed distributed higher-order optimizers for transformer training in Megatron-LM.
May 2025 – Aug 2025
Student Intern
Oak Ridge, Tennessee
Built and tuned GPU kernels for fused matrix operations on NVIDIA GPUs.
Oct 2024 – Dec 2024
Student Research Intern
Tokyo, Japan
Developed search algorithms to find combinations of genetic mutations associated with cancer.
May 2022 – Aug 2022
Software Development Engineer Intern
Boston, Massachusetts
Built tools to track indexing progress across millions of IoT devices.
2025–26
Awarded for academic excellence and demonstrated research potential within the College of Engineering at Virginia Tech.
2025
Nominated by the Computer Science Department as its representative for the College of Engineering’s Best Master’s Student Award.
2024
IEEE HPEC, for “Analyzing Scalable Genomic Diversity Study using SparkLeBLAST: A Feasibility Study.”
2024
Featured by Stony Brook University’s Supercomputing Center for achievements in high-performance computing research.
2026
International Conference for High Performance Computing, Networking, Storage, and Analysis (SC26)
2026
IEEE International Conference on Cluster Computing (CLUSTER)
2026
IEEE International Conference on Cluster Computing (CLUSTER)
2026
International Parallel & Distributed Processing Symposium (IPDPS)
2025