About.

Ritvik Prabhu beside the Frontier supercomputer at Oak Ridge National Laboratory

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.

Education

Expected May 2028

PhD in Computer Science

Virginia Tech

Blacksburg, Virginia

Research areas: High-Performance Computing, Numerical Optimization, and Transformer Models.

Jul 2026

MS in Computer Science

Virginia Tech

Blacksburg, Virginia

Thesis: Sparsity-Driven Search for Multi-Hit Genetic Mutation Combinations in Cancer.

May 2023

BS in Computer Science

Virginia Tech

Blacksburg, Virginia

May 2023

BS in Computational Modeling & Data Analytics

Virginia Tech

Blacksburg, Virginia

Minor: Mathematics

Research

Mar 2022 – Jul 2026

Synergy Lab, Virginia Tech ↗

Graduate Research Assistant

Blacksburg, Virginia

Scaled genomic analysis on supercomputers and adapted scientific workloads for edge devices.

May 2021 – May 2022

InfoVis Lab, Virginia Tech ↗

Undergraduate Research Assistant

Blacksburg, Virginia

Built tools for researchers to guide how machine learning models group and sort images.

Jan 2020 – May 2022

Crawford Lab, Virginia Tech ↗

Undergraduate Research Assistant

Blacksburg, Virginia

Used numerical methods and machine learning to reduce the cost of quantum chemistry simulations.

Work experience

May 2026 – Aug 2026

Oak Ridge National Laboratory ↗

Student Intern

Oak Ridge, Tennessee

Developed distributed higher-order optimizers for transformer training in Megatron-LM.

May 2022 – Aug 2022

Amazon Web Services

Software Development Engineer Intern

Boston, Massachusetts

Built tools to track indexing progress across millions of IoT devices.

Awards & recognition

2025–26

Pratt Fellowship

Awarded for academic excellence and demonstrated research potential within the College of Engineering at Virginia Tech.

2025

Outstanding Master’s Student Award Nomination

Nominated by the Computer Science Department as its representative for the College of Engineering’s Best Master’s Student Award.

2024

Outstanding Student Paper Award

IEEE HPEC, for “Analyzing Scalable Genomic Diversity Study using SparkLeBLAST: A Feasibility Study.”

Professional service