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Kobi Abayomi
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Assistant Professor
, University
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Philadelphia, PA,
United States
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I'm an experienced academic Statistician with over 14 years of research, teaching and consulting experience. I specialize in statistical dependency, environmental and social statistics. Can relocate immediately. |
Contact Kobi Abayomi
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Area of Expertise: |
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Environment, Climate, Energy, Water, Sanitation
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Human Rights, Law, Migration, Conflicts, Justice
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Social, Education, Gender, Youth, Child
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Professional Experience: |
I’m an Assistant Professor in the Environmental Studies Program and the Department of Mathematical Sciences at Binghamton University and Visiting Assistant Professor at the Department of Mathematics at Howard University. I received the Ph.D. degree in Probability and Statistics with a minor in Environmental Engineering from Columbia University in 2008. I was a Pre-doctoral Fellow at Haverford College from 2006-2007; a Postdoctoral Fellow and Visiting Professor at the Statistical and Applied Mathematical Sciences Institute (SAMSI) and Duke University from 2007-2008. I was a VIGRE Summer Visitor at Stanford University’s Statistics Department in 2008. I was a visiting scholar at the Social Science Research Institute at Duke University in fall 2012. My research foci are: Environmental and Economic Statistics, Statistical Dependence, Measurement of Inequality and Justice, Econometrics and Statistical Imputation. My published work includes methodological papers on multivariate imputation, sustainability indexing, climate change, labor market outcomes, and inequality measurement for environmental and social data. My research is designed for settings where standard modeling assumptions are violated with specific application to problems in social justice, economic inequality and environmental science. I have published and submitted papers on methodology for important problems in inequality measurement, environmental sustainability, environmental science, econometrics, and cross-national indexing. As a theoretical statistician, my research is unified by inspection and consideration of the first principles of statistical dependence. My work has yielded broad applied and theoretical innovations, and offers a coherent, rigorous approach to social, and environmental. I have ten years of work experience either at or in close cooperation with several non-governmental organizations including: the Center for International Earth Science Information Network (CIESIN), the Georgia Innocence Project and the United Nations Development Programme (UNDP). My undergraduate degree is in Public Policy (as well as Industrial Engineering); I have taught and led non-statistical research methodology classes at Columbia and Duke Universities.
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Education: |
MA, MPhil & PHD from Columbia University in Probability and Statistics BS in Industrial Engineering from Georgia Tech
Postdocs at Duke and Stanford Universities
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Available for: |
- Job opportunities
- Being headhunted – make me an offer
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