• Conduct and disseminate novel population health research addressing critical drivers of the high cost of healthcare, with a focus on large clinical database studies and implementation science.• Oversee three to five analysts who conduct research and analytics in support of AMGA Research & Analytics’ mission to translate population-based analytics into action.• Support one to three programmers in developing datasets and data related development work to support research projects.• Contribute to the development and implementation of department short- and long-term strategic plan that aligns with AMGA’s strategic plan, mission, vision, and values.• Manage research collaborations with technical, academic, and corporate partners.

• 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

• 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

• 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

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 stimuliStatistical 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

• 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

• Designed interior ceiling configurations to satisfy customer specifications under supply chain and manufacturing constraints