Research Experience

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Role: Neuroscience Scholars Intern under Dr. Yi Su

Period: June 2025 – July 2025

Description: Developing and evaluating computational Bayesian imaging techniques to support early detection and progression modeling in neurodegenerative diseases. I focus on probabilistic modeling for structural and functional neuroimaging, with applications to Alzheimer’s disease.

School of Mathematical and Statistical Sciences

Role: Research Assistant under Dr. Eleni Panagiotou

Period: January 2025 – May 2025

Description: I developed statistical models integrating knot theory and topology to analyze protein structure behavior. This NIH-supported research aims to inform studies on neurodegenerative disease. I also collaborated with Dr. Wenwei Zheng to study intrinsically disordered proteins under varying conditions.

UGenome AI

Role: Bioinformatics Intern

Period: November 2024 – January 2025

Description: Created and optimized Python-based pipelines for DNA/RNA mutant allele frequency quantification using next-generation sequencing. Implemented filtering strategies to enhance variant calling accuracy and sensitivity in genomic data.

Decision Theater

Role: Research Aide

Period: August 2024 – December 2024

Description: Sole researcher on podcast sentiment analysis in the context of the 2024 presidential election. I presented findings, managed databases, ran models, and prepared research for publication, contributing to ASU health and policy initiatives.

NASA Glenn Research Center (GRC)

Role: Intern, CHP-PRA Team

Period: June 2024 – August 2024

Description: Designed and led a complete NLP pipeline for Mars mission data classification under Dr. Mona Matar. Addressed multi-label imbalance using supervised and unsupervised learning to predict human system task categories for astronaut reliability planning.

CXFEL Beus Laser Laboratory

Role: Graduate Research Assistant & Data Analyst

Period: June 2023 – August 2024

Description: Built computational tools for crystallography at femtosecond resolution. Developed cxls_hitfinder (CNN for Bragg peak detection) and waterbackground_subtraction (signal optimization algorithm), enhancing accuracy in diffraction-based protein structure determination.