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Professor of Biomedical Informatics at Mayo Clinic
I have expertise in medical informatics specializing in text analytics, mining electronic health records (EHRs) to unlock unstructured and hidden information using natural language processing (NLP) and machine learning (ML) to create new capacities for clinical research and practice. My research interest is to achieve the best use of informatics (ML & NLP) to facilitate clinical research and precision medicine in a large population, advancing precision population health. Specialties: Biomedical Informatics, Artificial Intelligence, Machine Learning, Natural Language Processing, Information Retrieval, Information Extraction, Medical Image Processing
Missouri University of Science and Technology
PhD, Engineering Management (Machine Learning Emphasis)
January 1, 2003 – Present
University of Missouri-Columbia
MS, Computer Engineering
January 1, 1999 – Present
Kyonggi University
BE, Electronics Engineering
January 1, 1995 – Present
Mayo Clinic
Professor of Biomedical Informatics
November 1, 2023 – Present
Mayo Clinic
Associate Professor of Biomedical Informatic
October 1, 2018 – October 1, 2023
Mayo Clinic
Informatics Specialist
February 1, 2013 – July 1, 2016
Mayo Clinic
Assistant Professor of Biomedical Informatics
September 1, 2010 – September 1, 2018
Mayo Clinic
Research Associate
June 1, 2008 – January 1, 2013
NCBI/NLM/NIH
Postdoctoral Fellow
May 1, 2004 – June 1, 2008
Smart Engineering Systems Lab, University of Missouri-Rolla
Research Assistant
August 1, 2000 – June 1, 2003
Engineering Management Department, University of Missouri-Rolla
Teaching Assistant
August 1, 2000 – June 1, 2003
Computational Intelligence Lab, University of Missouri-Columbia
Research Assistant
January 1, 1998 – February 1, 1999
Cultural Fit Analysis
The candidate's background is heavily academic and research-oriented, primarily within biomedical informatics. While this demonstrates deep analytical skills, the target role of 'Data Analyst' in a potentially corporate or industry setting might require a different cultural fit, emphasizing business impact, agile methodologies, and direct stakeholder communication. The lack of diverse industry projects or explicit business-oriented data analysis experience suggests a potential gap in cultural alignment for a typical industry Data Analyst role. Their long tenure at a single institution (Mayo Clinic) also suggests a preference for stable, research-focused environments.
Soft Skills & Operational Fit
The candidate's extensive academic and research career suggests strong analytical thinking, problem-solving, and independent research capabilities. Their progression through various roles at Mayo Clinic implies dedication and an ability to adapt within a complex institutional environment. However, without specific project descriptions or team-based achievements, it's difficult to assess collaboration, leadership, or communication skills in an operational context.