Brian Caffo
 |
Brian Caffo | |
|---|---|
| Alma mater | University of Florida |
| Awards | Presidential Early Career Award for Scientists and Engineers (2011) |
| Scientific career | |
| Fields | Biostatistics |
| Institutions | Johns Hopkins Bloomberg School of Public Health |
| Thesis | Candidate sampling schemes and some important applications (2001) |
| Doctoral advisor | Professor James Booth |
Brian Caffo is a professor in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health.[1] He graduated from the Department of Statistics at the University of Florida in 2001, and from the Department of Mathematics at UF in 1995. He works in the fields of computational statistics and neuroinformatics and co-created the SMART working group.[2] He has been the recipient of the Presidential Early Career Award for Scientists and Engineers, Johns Hopkins Bloomberg School of Public Health Golden Apple and AMTRA teaching awards.[3]
He teaches five open online courses on the online learning platform Coursera namely Mathematical Biostatistics Boot Camp 1, Mathematical Biostatistics Boot Camp 2, Statistical Inference, Regression Models and Developing Data Products.[4][5][6][7][8]
References
- ^ Health, JH Bloomberg School of Public. "Brian S. Caffo - Faculty Directory - Johns Hopkins Bloomberg School of Public Health". Johns Hopkins Bloomberg School of Public Health. Retrieved 29 November 2017.
- ^ "Home - smart-stats.org". Smart-stats.org. Retrieved 29 November 2017.
- ^ Grillo, Christine. "2008 Golden Apple Award Winners". Johns Hopkins Bloomberg School of Public Health. Retrieved 29 November 2017.
- ^ "Mathematical Biostatistics Boot Camp 1 - Coursera". Coursera. Retrieved 29 November 2017.
- ^ "Mathematical Biostatistics Boot Camp 2 - Coursera". Coursera. Retrieved 29 November 2017.
- ^ "Statistical Inference - Coursera". Coursera. Retrieved 29 November 2017.
- ^ "Regression Models - Coursera". Coursera. Retrieved 29 November 2017.
- ^ "Developing Data Products - Coursera". Coursera. Retrieved 29 November 2017.
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