This is the webpage for the 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

About Us

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.

Contact Us

If you have any questions about the group, research, or website you can contact one of the key personnel. If you want to be added to or deleted from the SMART group e-mail list contact Brian Caffo. If you are a potential collaborator it helps to be highly recommended by one of our scientific collaborators. Well defined ideas, a healthy understanding of the need for Biostatistical thinking and methods, experience in peer-to-peer scientific collaborations are also a big plus.