Biography

Hello, I'm a master’s student in Computer Science at Georgia Tech with a focus on machine learning and data-driven systems. My research experience includes training Transformer models for multilingual subjectivity detection on HPC clusters, which resulted in a peer-reviewed paper accepted to CLEF 2025, and building a pipeline to convert drug-related mortality data into FHIR-compliant JSON for integration with HAPI FHIR servers. I also completed a summer research internship at GTRI’s Sensors and Electromagnetic Applications Lab, where I developed MATLAB tools to process radar simulation data and validate it using signal processing methods. I am interested in projects that combine AI, high-performance computing, and data science, and I’m eager to contribute to collaborative research through the SRP program.

Academic Status

Masters Student - 1st

Research Area/Department

Computer Science

Major/Specialty

Computer Science

Degrees Earned or in Progress

BS in Computer Science (2023), MS in Computer Science (2026)

Academic Preparation

MS in CS (Georgia Tech): AI, AI for Robotics, NLP, Software Dev Process, HCI, Machine Learning for Sensor-Based Human Activity Recognition Seminar BS in CS (Oregon State): Data Structures, Algorithms, Databases, Networks, OS, Parallel Programming

Research/Publications

CLEF 2025 - CheckThat! lab for Task 1 Paper title: Detecting Subjectivity via Transfer-Learning and Corrective Data Augmentation Georgia Tech VIP - Health Informatics on FHIR Project

Research/Academic Interests

AI and data science applied to high-performance computing, large datasets, sensor and imaging systems, and computationally intensive, data-driven projects.

Computational and Data Science Areas

Applied Computer Science; Artificial Intelligence and Intelligent Systems; Computer Science; Informatics, Analytics and Information Science; Statistics and Probability; Training; Visualization and Human-Computer Systems

Motivation

I want to participate in SRP because I’m motivated by applied, hands-on research that connects computational methods with real-world data. Over the past year and a half, my entry into research has been challenging, but I’ve loved being in an environment where I can keep learning while working on problems that haven’t been solved before. Projects like training Transformer models for multilingual research at CLEF, building a FHIR-compliant data pipeline in my VIP project, and processing radar simulation data during my GTRI internship have shown me how much I enjoy turning complex data into actionable insights. Through SRP, I hope to continue developing my skills, tackle new applied challenges, and collaborate with mentors and peers who inspire me to keep growing as a researcher.

Lightning Talk Title

From Data Infrastructure to Applied AI

Keywords (Maximum 20 words)

Data Infrastructure; Applied Machine Learning; Data Pipelines; Transformer Models; NLP; High-Performance Computing; FHIR; Radar Data Processing; Reproducible AI; Data Validation