About
As Founder & Principal Data Scientist at DBbun LLC, I lead the development of high-fidelity synthetic data and predictive analytics technologies. My work advances real-world evidence generation, safety analytics, and modeling across diverse domains. Previously, at IBM Research, MGH/Harvard, and Microsoft’s Innovation Lab, I pioneered machine learning solutions for EMR-scale datasets, natural language understanding of clinical narratives, and advanced clinical risk modeling. My research collaborations include MIT, Broad Institute, Cleveland Clinic, and other leading medical institutions. I’ve filed and co-invented 85+ patents in healthcare AI, medical informatics, security, and predictive modeling — delivering innovations from concept to real-world implementation.
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