Statistician
HAHSTA, DC DOH
Department of Health, District of Columbia
899 North Capitol Street NE
4th Floor
Washington D.C,
DC
USA
20002
suparna.das@dc.gov
Biographical Sketch:
2011-2014 - Collaboration as Research Associate with Dr. Zachary Zimmer, Professor, Department of Social and Behavioral Sciences University of California, San Francisco.
Project: Analysis of Household wealth of the elderly across all developing countries of the world, using DHS data.
2011-2014 -Internship in the Maternal and Child Health Administration, San Francisco Department of Public Health San Francisco, California.
Project: Application of Geographical Information Science to analyze low birth weights in San Francisco.
2011-2014 - Internship with Dr. Paul Grunewald, Senior Scientist. Scientific Director, Prevention Research
Center, Pacific Institute for Research and Evaluation, California, Berkeley.
Project: Study the ecological exposures of alcohol outlets in California using Bayesian spatial statistics.
2011-2014 - Collaboration as Research Associate with Dr. Christina Lindan, Associate Adjunct Professor,
Division of Preventive Medicine and Public Health, University of California, San Francisco.
Project: Evaluating the impact of a randomized controlled trial of an STI and behavioral intervention on HIV and STI incidence among high risk men in Mumbai, India.
2007-2010 - Research Assistant for Prof. Zachary Zimmer. Institute of Public and International Affairs,
University of Utah.
Project: 1. Ageing and familial ties, remittances in Sub-Saharan Africa, Eastern Europe and
South East Asia. 2. Living Situations of Older Adults in Sub Saharan Africa.
Z. Zimmer and S. Das. The poorest of the poor: composition and wealth of older person households in sub-Saharan Africa. Res Aging. 2014 May; 36(3):271-96.
S. Das and Z. Zimmer. Living arrangements and wealth among skip generation households across the globe. International Journal of Sociology of Family, 2015 40(2):95-116.
S. Das, Adam Allston and Jenevieve Opoku. Applying geo-spatial analysis and regression modeling to evaluate sexually transmitted diseases in District of Columbia (Under Review).