I am an Assistant Professor in the Department of Biomedical Engineering,
with joint appointments in Applied Mathematics and Statistics, Computer Science, Electrical and Computer Engineering, Neuroscience, and Biostatistics at Johns Hopkins University. I am affiliated with the Institute for Computational Medicine,
the Center for Imaging Science, and the Kavli Neuroscience Discovery Institute, and is affiliated with the Mathematical Institute for Data Science and Institute for Data Intensive Engineering and Sciences.
I do biomedical data science, focusing on statistics of brain networks (connectomes).
I co-founded the Open Connectome Project (OCP) with my brother R. Jacob Vogelstein and Randal Burns, Associated Professor in the Department of Computer Science at Johns Hopkins University, and then co-founded Gigantum a few years later.
I received a BS from the Department of Biomedical Engineering (BME) at Washington University in St. Louis, MO in 2002, a M.S. degree from the Department of Applied Mathematics and Statistics (AMS) at Johns Hopkins University (JHU) in Baltimore, MD in 2009, and a Ph.D. degree from the Department of Neuroscience at JHU in 2009. I then also trained in AMS@JHU from 2009 until 2012, and then Duke departments of Mathematics and Statistical Science until 2014. I married his kindergarten sweetheart in the summer of 2014, and we had our first child in 2017, and a second in 2019. My research goal is to understand and improve animal and machine learning worldwide.
My research has been featured in a number of prominent scientific and engineering journals and conferences including Nature, Science, Cell, Proceedings of the National Academy of Sciences, Nature Methods, Science Translational Medicine, Journal of Machine Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, Annals of Applied Statistics, Neurips, and SIAM Journal of Matrix Analysis and Applications. In 2011, I co-founded the Open Connectome Project, and co-founded Gigantum a few years later. We try to conduct our work according to the highest standards of open science.