💻 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.
🧬 NLP in Biomedical Data: I’ve developed an NLP model that links ICD codes to Human Phenotype Ontology (HPO) terms, bridging gaps between different biomedical data standards. This project improves medical data interoperability, supporting a more integrated approach to patient care.
🚀 If you’re interested in machine learning, genomics, or data science, let’s connect!