Research Experience
School of Mathematical and Statistical Sciences
Role: Research Assistant under Dr. Eleni Panagiotou
Period: January 2025 - present
Description: Contributing to NIH-funded research on protein structure analysis, I am developing novel mathematical tools using knot theory to analyze and classify protein folding patterns. My work involves implementing computational methods that combine topology and molecular dynamics to predict protein misfolding in neurodegenerative diseases. Our innovative approach leverages topological analysis techniques to understand and predict protein misfolding mechanisms, with potential therapeutic applications in treating neurodegenerative conditions.
UGenome AI
Role: Bioinformatics Intern
Period: November 2024 - present
Description: At UGenome AI, I am developing the MAXX software platform in Python, creating customized reference genomes to enhance mutation calling sensitivity in next-generation sequencing data analysis. My work includes implementing sophisticated computational pipelines for DNA and RNA mutant allele frequency quantification. I focus on optimizing variant detection algorithms to improve accuracy in genomic analysis, working to advance the precision of genetic variant identification.
Computational Statistics Collaboration in Item Response Theory (IRT)
Role: Collaborator/Co-Author
Period: January 2023 - present
Description: Working with Yi Zheng and Mark Reiser, I manage preprocessing, conduct simulations, develop software, and document performance evaluations of R's mirt package under the 2PL IRT model. A key achievement has been creating comprehensive visualizations of RMSE and bias metrics for all simulated subjects, significantly enhancing the interpretability and impact of our findings in the field of psychometric analysis.
Decision Theater
Role: Research Aide
Period: August 2024 - January 2025
Description: At the Decision Theater, I lead podcast sentiment analysis research examining targeted messaging in the 2024 presidential election. My responsibilities include enhancing research initiatives through comprehensive presentations, sophisticated database management, and model execution. I prepare analytical materials for publication and contribute significantly to ASU Health planning initiatives, focusing on data-driven decision-making approaches.
NASA Glenn Research Center (GRC)
Role: Human Reliability Analyst, CHP-PRA Team
Period: June 2024 - August 2024
Description: Working under the guidance of Dr. Mona Matar and Dr. Hunter Rehm, I spearheaded the implementation of supervised and unsupervised NLP classification models for Mars mission planning. My work focused on developing innovative solutions for imbalanced multi-label classification challenges in human system task categories, ensuring comprehensive analysis of astronaut task requirements and safety parameters.
CXFEL Beus Laser Laboratory
Role: Graduate Research Assistant & Data Analyst
Period: June 2023 - August 2024
Description: As a key member of the CXFEL team, I developed computational tools for crystallography diffraction analysis at femtosecond timescales. My contributions include creating the cxls_hitfinder deep learning classifier for automated parameter estimation and engineering the waterbackground_subtraction algorithm for optimized peak detection. These innovations have significantly improved the accuracy and efficiency of our crystallographic analysis capabilities.
Notable Projects:
cxls_hitfinder: A sophisticated deep learning model designed for parameter prediction and Bragg peak detection in crystallographic analysis.
waterbackground_subtraction: An advanced signal processing algorithm that improves peak detection accuracy in varying flux conditions.
BioXFEL
Supported research grant by the NSF. Take a glimpse into the work being done as a BioXFEL Scholar:
For more of my work, follow me on GitHub:
To explore more about these projects, visit the project-specific links or reach out directly via the contact details provided on the site.