Brian Caffo, PhD
Johns Hopkins University
Professor, Department of Biostatistics, Bloomberg School of Public Health, Department of Biomedical Engineering, Whitting School of Engineering, Johns Hopkins University
Brian Caffo, PhD is a professor in the Department of Biostatistics at the Johns Hopkins University Bloomberg School of Public Health. He graduated from the Department of Statistics at the University of Florida in 2001. He works in the fields of computational statistics and neuroinformatics and co-created the SMART (www.smart-stats.org) working group. He has been the recipient of the Presidential Early Career Award for Scientist (PECASE) and Engineers and Bloomberg School of Public Health Golden Apple and AMTRA teaching awards.
Statistical Methods and Applications for Research in Technology (SMART) working group of the Department of Biostatistics in the Bloomberg School of Public Health at Johns Hopkins University. The group was started by Ciprian Crainiceanu and Brian Caffo though it now boasts a core group from around the world. We work on Statistically principled methods for new technologies with special emphasis on brain imaging (e.g. fMRI, high resolution MRI, CT), wearable computing (e.g. hip accelerometers, heart monitors), and Biosignals (e.g. EEG, EKG, ECoG). The underlying principle is to develop methods that are automated, fast, scalable, and robust (AFSR.) Our analytic approaches are sometimes focused only on one subject, but typically we are investigating large populations observed at one or multiple time points.