Departmental Affiliations
Primary
Brian Caffo, PhD, MS, is a biostatistician who studies big, complex data in the neurosciences.
Additional Links
Experiences & Accomplishments
Education
PhD
University of Florida
2001
MS
University of Florida
Overview
Brian Caffo, PhD is a professor in the Department of Biostatistics with a secondary appointment in the Department of Biomedical Engineering at Johns Hopkins University. He graduated from the University of Florida Department of Statistics in 2001. He has worked in statistical computing, statistical modeling, computational statistics, multivariate and decomposition methods and statistics in neuroimaging and neuroscience. He led teams that won the ADHD 200 prediction competition. He co-directs the SMART statistical group. With other faculty at JHU, he created and co-directs the Coursera Data Science Specialization, a 10 course specialization on statistical data analysis. He co-directs the JHU Data Science Lab, a group dedicated to open educational innovation and data science. He is the former director of the Biostatistics graduate programs and admissions committees. He is currently the co-director of the Johns Hopkins High Performance Computing Exchange super computing service center and past-president of the Bloomberg School of Public Health faculty senate.
For more information, see my personal page www.bcaffo.com
For more information, see my personal page www.bcaffo.com
Honors & Awards
1998 William S. Mendenhall Award
1999 Anderson Scholar/Faculty nominee for the University of Florida CLAS
2001 University of Florida CLAS Dissertation Fellowship
2001 University of Florida Statistics Faculty Award
2002 Johns Hopkins Faculty Innovation Award
2006 Johns Hopkins Bloomberg School of Public Health AMTRA award
2008 Johns Hopkins Bloomberg School of Public Health Golden Apple teaching award
2011 Leader and organizer of the declared winning entry of the 2011 ADHD200 prediction competition
2011 Presidential Early Career Award for Scientists and Engineers (PECASE, 2010, awarded in 2011); The highest honor bestowed by the United States government on science and engineering professionals in the early stages of their independent research careers
2014 Named a Fellow of the American Statistical Association
2015 Special Invited Lecturer, European Meeting of Statisticians
1999 Anderson Scholar/Faculty nominee for the University of Florida CLAS
2001 University of Florida CLAS Dissertation Fellowship
2001 University of Florida Statistics Faculty Award
2002 Johns Hopkins Faculty Innovation Award
2006 Johns Hopkins Bloomberg School of Public Health AMTRA award
2008 Johns Hopkins Bloomberg School of Public Health Golden Apple teaching award
2011 Leader and organizer of the declared winning entry of the 2011 ADHD200 prediction competition
2011 Presidential Early Career Award for Scientists and Engineers (PECASE, 2010, awarded in 2011); The highest honor bestowed by the United States government on science and engineering professionals in the early stages of their independent research careers
2014 Named a Fellow of the American Statistical Association
2015 Special Invited Lecturer, European Meeting of Statisticians
Select Publications
Selected publications
- Punjabi, N.M., Caffo, B.S., Goodwin, J.L., Gottlieb, D.J., Newman, A.B., O'Connor, G.T., Rapoport, D.M., Redline, S., Resnick, H.E., Robbins, J.A. and Shahar, E., 2009. Sleep-disordered breathing and mortality: a prospective cohort study. PLoS medicine, 6(8), p.e1000132.
- Segev, D.L., Muzaale, A.D., Caffo, B.S., Mehta, S.H., Singer, A.L., Taranto, S.E., McBride, M.A. and Montgomery, R.A., 2010. Perioperative mortality and long-term survival following live kidney donation. Jama, 303(10), pp.959-966.
- Caffo, Brian S., Wolfgang Jank, and Galin L. Jones. "Ascent-based Monte Carlo expectation–maximization." Journal of the Royal Statistical Society: Series B (Statistical Methodology) 67.2 (2005): 235-251.
- Agresti, A. and Caffo, B., 2000. Simple and effective confidence intervals for proportions and differences of proportions result from adding two successes and two failures. The American Statistician, 54(4), pp.280-288.
- Yue C, Zipunnikov V, Bazin PL, Pham D, Reich D, Crainiceanu C, Caffo B. Parameterization of white matter manifold-like structures using principal surfaces. Journal of the American Statistical Association. 2016 Jul 2;111(515):1050-60.
Projects
Bayesian Analysis of Single Subject fMRI Data