University of Pittsburgh, Department of Epidemiology
This program addresses the critical need to promote epidemiological research of cardiovascular disease (CVD), a major cause of morbidity and mortality globally. The primary goal of our T32 Program is to train individuals in CVD Epidemiology based on a pathophysiological understanding and experiential learning to develop better prevention strategies in the future. Our training program offers multiple opportunities to pursue training related to CVD in a variety of areas including vascular aging, high risk and international populations, women's health throughout the lifespan, nutrition and environment, physical activity and psychosocial factors grounded in traditional and novel epidemiological and analytical methods.
Cardiovascular Training Grant
Under the leadership of Dr. Akira Sekikawa and the Program Co-Director (Dr. Emma Barinas-Mitchell) and program faculty with extensive and multidisciplinary expertise, this program is designed to provide focused training in the quality collection of subclinical vascular measures, biomarkers, and CVD outcomes data and how they can be used to understand the process of atherosclerosis and CVD. The program positions our trainees to be independent cardiovascular epidemiologists in multidisciplinary research settings competent in traditional and novel epidemiological methods in CVD. The program currently funds 4 pre-doctoral and 2 post- doctoral trainees with access to NIH funded research focused centers at the University of Pittsburgh. Also unique to this training program is the remote training project that allows the trainees to develop collaborations with investigators across the US as well as internationally.
Also unique to this training program is the requirement of a remote training project that allows the trainees to develop collaborations with investigators across the US as well as internationally.
Pittsburgh is in the Top 3 Global Ranking of Livable Cities. Get a glimpse of graduate school life in Pittsburgh here.
Fall 2021 Meeting Schedule: Select Fridays, 10:00am - 11:25am
September 10th: Group-based Trajectory Analysis, presented by Yamnia I. Cortés, PhD, FNP-BC, Assistant Professor, The University of North Carolina at Chapel Hill School of Nursing.
September 17th:Trend analyses: Interrupted time-series analysis, presented by Brandon Herbert, MPH, Predoctoral Scholar, Department of Epidemiology, University of Pittsburgh.
September 24th: Graphical causal models for integrative analysis of biomedical and clinical data, presented by Panayiotis (Takis) Benos, PhD, Professor and Vice Chair for Academic Affairs, Department of Computational and Systems Biology, University of Pittsburgh School of Medicine.
October 1st: Measures of physical activity/sedentary behavior, presented by Bethany Barone Gibbs, PhD, Associate Professor, Department of Health and Human Development and Clinical and Translational Science, University of Pittsburgh.
October 8th: AHA guidelines for statistical reporting in CVD medicine, presented by Andrew D. Althouse, PhD, Assistant Professor, Centers for Research on Health Care Data & Clinical Trials and Data Coordination, University of Pittsburgh School of Medicine.
October 22nd: Community-engaged mixed method approaches to CVD prevention, presented by Jessica R. Thompson, PhD, Med, Postdoctoral Scholar, Community Impact Office, University of Kentucky Markey Cancer Center.
October 29th: Joint modeling/mixed modeling techniques, presented by Fouzia Farooq, MPH, Predoctoral Trainee, Department of Epidemiology, University of Pittsburgh.
November 5th: Introduction to Meta-analysis: Sexual Violence and CVD, presented by Karen P. Jakubowski, PhD, Assistant Professor, Department of Psychiatry, University of Pittsburgh.
November 12th: Longitudinal Exposure to Neighborhood Structural Disadvantage and Midlife Markers of Cardiovascular Health In Women (comprehensive meeting practice), presented by Mary D. Schiff, MPH, Predoctoral Trainee, Department of Epidemiology, University of Pittsburgh.
December 3rd: Introduction to Metabolomics and its Application in Epidemiology, presented by Megan M. Marron, PhD, Postdoctoral Scholar, Department of Epidemiology, University of Pittsburgh.
December 10th: The Google Earth Engine: a primer with applications to public health and CV epi research, presented by Mary D. Schiff, MPH, Predoctoral Trainee, Department of Epidemiology, University of Pittsburgh.