José M. Flores, MPH

MD-PhD Student
Johns Hopkins Bloomberg School of Public Health
Department of Epidemiology
615 N. Wolfe Street
Office: W-6604
Baltimore, MD
USA 21205
jose.flores@jhmi.edu

Biographical Sketch:
Relevant Training: * 5th year MD/PhD student at Johns Hopkins University - joint affiliation with the School of Medicine and the Department of Epidemiology at the Bloomberg School of Public Health. * 2012-present - Sexually Transmitted Infections T32 grant trainee Research Assistantships: * 2012 – 2013 - Johns Hopkins: Preventive HIV infection among MSM in India: Currently collecting baseline information, this study focuses on sexual risk among men who have sex with men across India. * 2012 – 2013 - Johns Hopkins: The Thailand C2P Trial - Cluster randomized trial studying interventions against substance abuse in rural Thailand * 2012 - Johns Hopkins: The Iringa Community Trial - being conducted to study the synergy of behavioral and biomedical interventions to enhance HIV prevention in rural Tanzania. * 2008 – 2009 - Penn State: Department of Agricultural Economics and Rural Physiology - analyzed data on healthcare perceptions of Latino residents in Pennsylvania including sexual health. * 2006 – 2008 - Penn State: Noll Laboratories - took blood marker measurements during scheduled experiments for various research projects. Teaching Assistantships * Summer 2012 & 2013 - Johns Hopkins: Principles of Epidemiology: Covers the principles and methods of epidemiologic investigation of infectious and noninfectious diseases, covering etiologic factors, modes of transmission, and pathogenesis. Department: Epidemiology * Summer 2012 & 2013 - Johns Hopkins: Environmental Health: Covers the scientific understanding of causes as well as the possible future approaches to control of the major environmental health problems in industrialized and developing countries. Department: Environmental Health Sciences * 2012-2013 - Johns Hopkins: Biostatics methods for Public Health Research I, II, III & IV: Covers statistical methodology, data analysis, and modeling techniques used in the study of population health. Department: Biostatistics Additional: * Several presentations at scientific meetings. * Numerous academic and research awards.