Jonathon Romero is an AI Model Staff Engineer with a Ph.D. and a decade of experience applying explainable AI, NLP, and deep learning to healthcare and genomics problems. He has led AI projects and LLM implementations for pharmacovigilance and safety at Syneos Health and consulted for Pfizer on clinical model development and prototype production. His background in high-performance computing at Oak Ridge National Laboratory enables him to optimize algorithms for terabyte-scale multi-omics and single-cell datasets, bridging research-grade methods with production needs. Based in Durham, NC, he combines academic rigor from a PhD in Energy Science and Engineering with hands-on ML delivery, including work on biomarker discovery and SARS-CoV-2 severity modeling. Colleagues rely on him for translating complex biological signals into interpretable, deployable models that support regulatory and clinical decision-making.
11 years of coding experience
14 years of employment as a software developer
Bachelor's degree Mathematics, Bachelor's degree Mathematics at The University of Alabama
Doctor of Philosophy - PhD Energy Science and Engineering, Doctor of Philosophy - PhD Energy Science and Engineering at University of Tennessee, Knoxville
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