Seasoned technical leader with a proven track record in leveraging AI and structured terminologies to solve complex healthcare data challenges. I specialize in transforming raw health data into actionable insights by mapping consumer or healthcare record phrases to standard terminologies and bridging the gap between disparate coding systems. My expertise lies in designing and implementing robust data pipelines that enhance data quality, facilitate interoperability, and support AI-powered applications. I have successfully led projects that automate clinical terminology mapping, implement semantic interoperability frameworks, and develop high-quality healthcare data warehouses.On the technical side, I am interested in data processing pipelines that annotate, decorate, augment and enhance data quality to feed into algorithms or models that solve problems by weighting and evaluating that data in a variety of ways against known "gold standard information" and provide "live" mechanisms for feedback loops to continuously monitor, measure, and improve outcomes. I am passionate about using algorithms+AI to drive innovation in the healthcare industry.I believe algorithms and AI work best when time has been taken to properly understand the data and the building blocks (tokenizers, normalizers, etc.) used to compose data into useful starting points for training and analysis. Furthermore, I also believe that all of the complicated problems of healthcare can be solved if we create high quality solutions for those "building blocks".Specialties: healthcare terminologies and data models, data analysis, data engineering, process modeling, semantic interoperability, information retrieval, knowledge-based computing, database design and query optimization, structured terminology/ontology maintenance, software development life-cycle methodologies and best practices, technical project management, and team leadership.
Listed skills include Software Development, Integration, Databases, Linux, and 54 others.