Our CHAT Team icon

Learn from the experts.
Learn from passionate, energetic personalities.
Learn from the best!

The true value of CHAT lies with its team. We designed CHAT to fill a void. The underpinnings of CHAT were developed during our work on a comparative effectiveness research grant. Over the next five years, the CHAT design, content, and educational products underwent considerable evaluation and refinement after pilot-testing among a diverse, interdisciplinary group of clinicians, researchers, health analysts, and students. CHAT draws upon the principles of virtual analytics, which seeks to optimize transfer of analytic knowledge and skills using a multi-dimensional intelligence (MDI) model. Our team exemplifies “small but mighty”, and we are extremely fortunate to have ongoing insight and feedback from colleagues from around the world as we make CHAT a valuable commodity for building a critical mass of functional analysts in the workforce.

Hamisu M. Salihu, MD, PhD
Creator and Leader, Community Health Analytics Training

Dr. Salihu is tenured Professor and Vice-Chair (Research) at Baylor College of Medicine. He is board certified by the American Board of Preventive Medicine. Dr. Salihu has published hundreds of peer-reviewed journal articles, has been and is the Principal Investigator of several federally funded grants (including the NIH, HRSA and the AHRQ). He is also a recognized world expert in maternal and child health issues, and was described by the New York Times as one of the world’s leading researchers in the field of stillbirth (New York Times, April 1st, 2008). Dr. Salihu has also been recognized by the prestigious Time Magazine (April 22, 2013) as a pioneer in the research that sheds light on the “male biologic clock” from an epidemiologic perspective.

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Jason L. Salemi, PhD, MPH
Creator and Instructor, Community Health Analytics Training

Dr. Salemi is an Assistant Professor at Baylor College of Medicine. In his years as a birth defects epidemiologist, Chair of the National Birth Defects Prevention Network’s Data Committee, and his recent roles on comparative effectiveness research (CER) grants, he has amassed a substantial and versatile proficiency in database development, as well as data linkage, management, visualization, and analysis. He has published or has in-press nearly 50 peer-reviewed scientific articles, many focusing on public health data systems, technological and methodological issues in perinatal epidemiology, and cost-effectiveness analysis. He is a skilled trainer, in both synchronous and asynchronous instructional environments, instrumental in creating novel e-Learning and m-Learning modules and virtual analytics platforms to build the capacity of academic and community professionals to conduct CER, and apply cost-effectiveness analysis to their work.

Jennifer L. Matas, BS
Editor and Instructor, Community Health Analytics Training

Jennifer is a Project Director and Content Analyst for the National Institute for Scientific and Medical Advancement (NISMA), a nonprofit organization committed to improving health through research, education, outreach, and the use of technology. Her background in the biological and social sciences, as well as her proficiency in the use of visual analytics technologies, have resulted in her development of a variety of educational platforms and case-based solutions for comparative effectiveness research and cost effectiveness analysis studies. As a preceptor in the first implementation of Community Health Analytics Training (CHAT), she excelled in designing simple and Markov decision models using TreeAge software and joined the CHAT creators to develop innovative educational modules using our multi-dimensional intelligence (MDI) model.

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