I am an Assistant Professor in the Department of Biomedical Engineering and the Institute for Computational Medicine at Johns Hopkins University. I sit at the Center for Imaging Science in Clark Hall at the Homewood campus. I also have an appointment in the Institute for Data Intensive Engineering and Sciences. My work focuses largely on big and wide data, especially neuroscience, focusing on statistics of brain graphs (connectomes). I co-founded the Open Connectome Project with my brother R. Jacob Vogelstein and Randal Burns, Associated Professor in the Department of Computer Science at Johns Hopkins University. We run a very vertical group, with people working at all levels of analysis, ranging from data collection to analysis and interpretation. We are always looking for new collaborators and team members. Please inquire if you are interested.
This world is already an incredibly beautiful and lovely place to live (at least for me, for now). We are motivated by a desire to make it even better for all of us, as well as our descendants, and our fellow inhabitants. We do so via searching for patterns. Specifically, we seek patterns in our physical worlds (e.g., our bodies, our brains) as well as our mental worlds (e.g., our perceptions, experiences, memories, thoughts, emotions, psychiatric conditions). More importantly, we seek to understand patterns in our mental worlds in terms of our physical worlds. Our hope and belief is that via developing a deeper understanding of the links between these worlds, we will be able to bring them into greater alignment. A primary motivating factor is that all humans/animals have brains and therefore, such ideas could directly benefit all of animalkind. Thus, all of our research products are freely available to all. For more details see my cv.
My research passion lies in the development of inference techniques for scientific discovery from large and complex datasets, typically relating measurements of brain properties (e.g., brain imaging) to mental properties (e.g., aptitude, cognition, perception, memory, etc.). Of primal consideration for our group is that these techniques are useful in solving important scientific questions and social problems. Our unique contributions follows from the juxtaposition our collective domain knowledge (enabling important applied questions to be asked), computational aptitude (allowing the tools that enable one to obtain answers from terabytes of data to be built), and statistical insight (clarifying the extent to which to trust the answers). All projects are motivated by scientific questions, and result in open source code available to the greater scientific community, as well as applications of the methods on state-of-the-art neuroscientific datasets. For all projects, we primarily search for students who are excited and fun to work with, secondarily, it would be helpful if you had some math/stat skills, some programming skills, and some interest in solving real problems. Below, are a few example projects.
Essentially every project I embark on includes writing some code, if only to buttress the theoretical results with numerical examples. Moreover, as an adherent to the philosophy of open science, code I write is always open source by the time of submission, and often sooner. Thus, searching my cv is the most reliable method for discovering all of the code bases associated with any project I am a part of. You can also check various github accounts that I regularly contribute to, including my own and open connectome project's, which we started. We also develop FlashGraph these days. Nevertheless, here I will try to post the codes from various projects that I think are potentially useful for other applications.
jovo [at symbol] jhu [dot] edu
Joshua T. Vogelstein
Center for Imaging Science
Clark Hall, Rm 317C
3400 N. Charles St
Baltimore, MD 21218