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Mail:
Room 1005 SSW, MC 4690 1011 SSW |
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About me:
I am an assistant professor in the Department of Statistics at Columbia University in lovely New York, NY. I received my Ph.D. in Statistics from Columbia University in 2011 and my advisor was David Madigan. I am interested in Bayesian methods for large-scale data, analysis of recurrent events, and applications in postmarketing drug safety surveillance. CV [pdf] Teaching:
Fall 2011 - STAT W4109 Probability and Statistical Inference Simpson, S.E. (2013). A positive event dependence model for self-controlled case series with applications in postmarketing surveillance. Biometrics. Suchard, M.A., Simpson S.E., Zorych, I., Ryan, P., and Madigan, D. (2013). Massive parallelization of serial inference algorithms for a complex generalized linear model. ACM Transactions on Modeling and Computer Simulation (TOMACS), 23(1), 10.
Madigan, D., Ryan, P., Simpson, S.E., and Zorych, I. (2011).
Bayesian methods in pharmacovigilance (with discussion).
In: J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman,
A. F. M. Smith and M. West (eds), Bayesian Statistics 9, Oxford University
Press, 421-438.
[pdf]
"A Bayesian self-controlled method for drug safety surveillance in
large-scale longitudinal data," Valencia 9 ISBA World Meeting, June 6 2010
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NSSL 2010, Ohio State University, May 21 2010
[pdf]
2011 Minghui Yu Memorial Conference |
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Links:
arXiv |
Computer stuff:
Detexify |
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