Jeff Mohl
Director, Research and Analytics at American Medical Group Association (AMGA)- Claim this Profile
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Bio
Experience
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American Medical Group Association (AMGA)
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United States
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Hospitals and Health Care
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1 - 100 Employee
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Director, Research and Analytics
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Nov 2021 - Present
• Lead a team of four research analysts to produce impactful health services research and provide analytic support to AMGA population health initiatives. • Leverage large scale, real-world databases of electronic medical record and adjudicated claims data to generate insights relevant to pressing public health questions, with a focus on chronic disease and value based care • Design, implement, and publish quantitative and qualitative research studies in collaboration with academic and… Show more • Lead a team of four research analysts to produce impactful health services research and provide analytic support to AMGA population health initiatives. • Leverage large scale, real-world databases of electronic medical record and adjudicated claims data to generate insights relevant to pressing public health questions, with a focus on chronic disease and value based care • Design, implement, and publish quantitative and qualitative research studies in collaboration with academic and industry partners • Support AMGA's national public health campaigns and group learning collaboratives through quality measure development, monitoring, and evaluation
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Senior Population Health Research Analyst
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Nov 2020 - Nov 2021
• Leveraged machine learning techniques to develop predictive models to identify high risk patients, and classification models to improve the quality of our data resource (https://doi.org/10.1002/acr.25013) • Lead the development, design, implementation, and dissemination of research projects with academic and industry partners • Provided subject matter expertise in machine learning, statistical analysis, and quantitative research design to a diverse range of health services research… Show more • Leveraged machine learning techniques to develop predictive models to identify high risk patients, and classification models to improve the quality of our data resource (https://doi.org/10.1002/acr.25013) • Lead the development, design, implementation, and dissemination of research projects with academic and industry partners • Provided subject matter expertise in machine learning, statistical analysis, and quantitative research design to a diverse range of health services research projects
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Duke University
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United States
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Higher Education
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700 & Above Employee
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Postdoctoral Research Associate
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May 2020 - Nov 2020
Durham, North Carolina, United States • Analyzing neural and behavioral data using statistical methods (inferential and descriptive) and computational modeling • Data visualization and communication in papers and presentations • Development of custom data analysis pipelines in MATLAB and R
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Graduate Research Assistant
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Aug 2014 - May 2020
Raleigh-Durham, North Carolina Area Computational models of human and primate behavior to evaluate perceptual strategies across species • Designed, piloted, and carried out a novel behavioral experiment to investigate how visual and auditory information is combined to produce optimal multisensory judgements • Developed a range of custom mathematical models of behavior in Matlab, and conducted a model comparison to quantitatively describe behavior across multiple subjects and species… Show more Computational models of human and primate behavior to evaluate perceptual strategies across species • Designed, piloted, and carried out a novel behavioral experiment to investigate how visual and auditory information is combined to produce optimal multisensory judgements • Developed a range of custom mathematical models of behavior in Matlab, and conducted a model comparison to quantitatively describe behavior across multiple subjects and species (https://github.com/jmohl/CI_behavioral) • Discovered that primates use an approximate Bayesian strategy to compare auditory and visual stimuli Statistical modeling of rapidly fluctuating neural time-series data • Collaborated with members of the statistical science department to develop a novel analysis strategy for time varying neural signals, now released (https://github.com/tokdarstat/Neural-Multiplexing) and available to the scientific community. • Designed and implemented a series of computational tests to evaluate reliability and robustness of statistical method (https://arxiv.org/abs/2001.11582) • Interfaced with labs across four universities to implement analysis on diverse datasets
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PFL.com
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United States
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Software Development
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100 - 200 Employee
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Software Developer
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May 2013 - Aug 2013
• Updated and improved internal website and database framework through the modification of existing code and the introduction of new tools • Provided support, technical consulting, and bug resolution to internal sales staff • Gained a working competency in multiple programming languages (Visual Basic, Java, C, and SQL) and enterprise coding fundamentals under the mentorship of a senior developer
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Boeing
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United States
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Aviation & Aerospace
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700 & Above Employee
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Mechanical Engineering Intern
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Jun 2012 - Aug 2012
• Designed interior ceiling configurations to satisfy customer specifications under supply chain and manufacturing constraints
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Education
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Duke University
Doctor of Philosophy (Ph.D.), Neurobiology and Neurosciences -
Montana State University-Bozeman
Bs, Mechanical Engineering