Our Core Faculty and Staff
Our Affiliate and Joint Appointment Faculty
Steven Ault, Lecturer
As an Adjunct Lecturer/Instructor, Steven Ault teaches infectious disease epidemiology, global health and program and project policy planning and evaluation part-time. He is a public health biologist with over 30 years of technical, supervisorial and managerial experience in international public health and development programs and projects, principally in Latin America and the Caribbean. Ault retired from PAHO/WHO in 2015 after 20 years of service, lastly as Senior Advisor for Neglected Infectious and Tropical Diseases.
Areas of Interest: Tropical Infectious Diseases; Global Health; Zoonoses and One Health; Field Epidemiology; Latin America and the Caribbean
Yishan Ding, MA, Adjunct lecturer
Yishan Ding has a diverse background in developing and applying modern quantitative methods for complex statistical model-building and diagnosis. Her primary focus is on multidimensional and multilevel factor analysis and statistical methods to detect aberrant response behavior. She has extensive experience with data management and statistical programming with R, SAS, SPSS, and Python. Yishan has been working as a statistical consultant at the University of Maryland Libraries since 2017. She holds a master's degree in Measurement, Statistics and Evaluation (MSE) from UMD and is currently a doctoral student in the MSE program.
Areas of interest: Multidimensional and multilevel factor analysis; psychometric model; model diagnostics
Taylor Lewis, Adjunct Assistant Professor
Robin E. Mockenhaupt, PhD, MPH, MBA, Adjunct Professor
Dr. Robin E. Mockenhaupt is a national philanthropic and non-profit leader in population health, with a lifespan focus from maternal and child health to healthy aging. She is an independent consultant in philanthropy and non-profit management. Robin previously worked for the Robert Wood Johnson Foundation (RWJF), AARP, and other non-profit organizations in the Washington, DC area.
Areas of Interest: Social determinants of health, neighborhood and community health outcomes, aging, and health equity.
Robin Puett, Associate Professor
Dr. Robin Puett is an environmental epidemiologist and Associate Professor in the UMD School of Public Health's Maryland Institute for Applied Environmental Health with tenure in the Department of Epidemiology and Biostatistics. Her research and teaching interests are at the intersection of environmental stressors, chronic disease and wellbeing. Her research explores air pollution exposures with chronic disease and examines the potential of integrative health modalities to offset the impacts of psychological and environmental stressors.
Areas of Interest: Integrative (or Mind/Body) Health; Air Pollution Exposures; Environmental Epidemiology; Chronic Disease Epidemiology
Edmond Shenassa, Professor, Family Science
Dr. Shenassa is a professor in the UMD School of Public Health's Department of Family Science. He investigates the synergy between modifiable determinants of prenatal and perinatal health (e.g., breastfeeding by smokers). Dr. Shenassa's population-based investigations focus on social determinants (e.g., income inequality, housing quality) of health over the life course.
Thomas Sinks, PhD, Adjunct Professor
Dr. Sinks has extensive experience in applied epidemiology, environmental and occupational health, preparedness and response, scientific integrity, public access to Federal research data, and human subjects research regulations. He retired from Federal service having worked thirty-five years at the Centers for Disease Prevention and Control and the Environmental Protection Agency. He is also an Adjunct Professor in Environmental and Occupational Health at the Rollins School of Public Health, Emory University.
Areas of Interest: Environmental, occupational, preparedness and emergency response epidemiology; Guidelines and practices for access, and management of public use datasets. Scientific integrity and human subjects research ethics
Sirin Yaemsiri, PhD, Adjunct Assistant Professor
Dr. Yaemsiri's areas of expertise include developing key indicators, global health, health disparities, data collection, data quality, statistics, and data visualization. Dr. Yaemsiri holds a Ph.D. in Epidemiology from the University of North Carolina at Chapel Hill. She is an experienced SAS/SQL programmer adept in the analysis of large datasets using a wide range of statistical techniques, including analysis of complex survey data, multivariable analysis, descriptive analysis, logistic regression, multilevel modeling, record linkage, and survival analysis.