💻 Current Project: I’m working on a deep learning-based Polygenic Risk Score (PRS) model for urolithiasis. This project combines machine learning and genomics to make strides in personalized medicine, helping to create tailored healthcare solutions.
📈 Natural History Analysis: As part of my research, I’m studying the natural history of kidney stone disease to uncover how genetic and environmental factors interact over time. This work aids in understanding disease progression, informing preventative strategies, and refining treatment plans.
🧒 ROH Analysis in Pediatric Genomics: I'm analyzing runs of homozygosity (ROH) in pediatric cancer genomes to identify regions of potential genetic risk. This work aims to uncover the role of autozygosity in early-onset cancers and inform variant discovery.
🚀 If you’re interested in machine learning, genomics, or data science, let’s connect!