Now hiring, see here for details.
research highlights
- Fishkind DE, Sussman DL, Tang M, Vogelstein JT, Priebe CE. Consistent adjacency-spectral partitioning for the stochastic block model when the model parameters are unknown. arxiv, 2012.
- Roberts NJ*, Vogelstein JT*, Parmigiani G, Kinzler KW, Vogelstein B, Velculescu VE. The Predictive Capacity of Personal Genome Sequencing. Science Translational Medicine, Sci Transl Med 3003380. published ahead of print 2 April 2012. abstract, pdf.
- W Gray, et al. MR Connectome Automated Pipeline. IEEE EMBS, Volume 3, Issue 2 (2012), 42-48. arxiv, code, abstract, pdf.
- JT Vogelstein, et al. Fast Inexact Graph Matching with Applications in Connectomics. arxiv, code, repo, Submitted to IEEE PAMI.
- JT Vogelstein, et al. Shuffled Graph Classification: Theory and Applications in Statistical Connectomics. arxiv, repo, Submitted to IEEE PAMI.
- JT Vogelstein, et al. Graph Classification using Signal Subgraphs: Applications in Statistical Connectomics. Submitted. arxiv, code, repo.
philosophy
This world is already an incredibly beautiful and lovely place to live (for many of us). Our thesis is that by improving our models of how we think and act, we will be able to make this world even better for more of us. More specifically, we aim to contribute by developing and applying tools from statistics to neuroscience, psychology, and beyond. Our primary foci are statistical graph theory and brain-graphs (connectomes).
open lab
Perhaps partially because we fervently believe that we are all in this together, we are strong advocates of open-science, that is, making one's research freely available to all. To that end, all our work is open, meaning our code is open source and all the data we use is open access. The intention of this website is to share our dreams, our work, and invite you to come join our party, and perhaps inspire others to unify their dreams and their realities. Below are dropbox links to much of what is happening on our computer right now:- publications we've been on
- conferences we've presented at
- talks i've given (not at conferences)
- classes i've taken (and all the work i did in them)
- articles i've read