Mark Duggan
Biostatistician Analyst
Pasadena, California, United States
Summary
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Senior🎓
Top SchoolMark Duggan is a biostatistician and applied mathematician with 16 years of experience using analytics and programming to improve health and policy outcomes. He earned graduate degrees from USC where his doctoral work combined LSTM neural networks and mathematical deconvolution to enable real-time estimation for transdermal alcohol sensors, and he proved continuity results to validate the approach. Now at Kaiser Permanente Bernard J. Tyson School of Medicine he supports faculty and students by building research data infrastructure, delivering statistical analyses, and teaching analytic methods. He brings a rare blend of rigorous theoretical grounding and hands-on data-product implementation, with a track record of translating complex sensor and time-series models into practical tools. Based in Pasadena, CA, he is motivated by applying quantitative methods to make systems more efficient and people’s lives better.
15 years of coding experience
10 years of employment as a software developer
Doctorate Program, Applied Mathematics, Doctorate Program, Applied Mathematics at University of Southern CaliforniaFoothill Technology High SchoolUC Santa BarbaraBachelor of Science, Mathematics, Bachelor of Science, Mathematics at University of California, Santa Barbara
English, SpanishGithub contributions (1)
Subrata11/Flashbacks-PHP-projekt
Jun 2010 - Sep 2010
Contributions:78 commits in 3 months
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