Joshua T. Vogelstein, Ph.D.
Department of Biomedical Engineering
Johns Hopkins University
- 08/14 – Assistant Professor Department of Biomedical Engineering, JHU.
- 09/19 – Joint Appointment Department of Biostatistics, Johns Hopkins University (JHU).
- 08/15 – Joint Appointment Department of Applied Mathematics and Statistics, JHU.
- 08/14 – Joint Appointment Department of Neuroscience, JHU.
- 08/14 – Joint Appointment Department of Computer Science, JHU.
Institutional and Center Appointments
- 08/15 – Steering Committee Kavli Neuroscience Discovery Institute (KNDI).
- 08/14 – Core Faculty Institute for Computational Medicine, JHU.
- 08/14 – Core Faculty Center for Imaging Science, JHU.
- 08/14 – Assistant Research Faculty Human Language Technology Center of Excellence, JHU.
- 10/12 – Affiliated Faculty Institute for Data Intensive Engineering and Sciences, JHU.
- 08/18 – Director of Biomedical Data Science Focus Area Department of Biomedical Engineering, Johns Hopkins University.
Published (Peer-Reviewed Research Articles)
- Bagging Improves Reproducibility of Functional Parcellation of the Human Brain NeuroImage (Feb. 2020) URL: https://doi.org/10.1016/j.neuroimage.2020.116678
Submitted (Peer-Review Research Articles)
Peer-Reviewed Conference Proceedings
The below table shows my direct (total) cost expenditures since being hired, indicating a steady increase >30% per year.
- 2020 – 2025 CAREER: Foundational Statistical Theory and Methods for Analysis of Populations of Attributed
NSF 17-537 Role on project: Principal Investigator Term: 01-Mar-2020 to 31-Dec-2025 Budget: $384,873 (direct) $245,357 (indirect) $630,230 (total) The goal is to establish foundational theory and methods for analyzing populations of attributed connectomes.
- 2020 – 2023 Graspy: A python package for rigorous statistical analysis of populations of attributed connectomes.
NIH MN-19-147 Role on project: Principal Investigator Term: 01-Mar-2020 to 30-June-2023 Budget: $861,240 (direct) $549,039 (indirect) $1,410,279 (total) The goal of this project is to establish a state-of-the-art toolbox for analysis of connectomes, spanning taxa, scale, and complexity. More specifically, we will develop and extend implementations to enable neurobiologists to 1) estimate latent structure from attributed connectomes, (2) identify meaningful clusters among populations of connectomes, and (3) detect relationships between connectomes and multivariate phenotypes, such as behavior, genetics, and physiology.
Invited Talks (Local)
- Feb. 2020 Johns Hopkins Mathematical Institute for Data Science Lifelong Learning: Moving Beyond Avoiding Catastrophic Forgetting
Abstracts / Posters
- A quantitative comparison of a complete connectome to artificial intelligence architectures NAIsys, 2020.
- NeuroData’s Open Data Cloud Ecosystem Harvard University, July 2019
New Courses Created
- Fall ’19 NeuroData Design I EN.580.237/437/637, Course Director, enrollment 46. URL: https://github.com/NeuroDataDesign/Syllabus
Research Track Faculty Mentorship (3)
- 02/19 – Hayden Helm, MSE Assistant Research Faculty BME, JHU.
Leading research efforts developing theory and methods for lifelong learning.
Grant Review Service
- 2015 NSF Review Panel Review for NSF BIG DATA Program
Awards and Recognition
- 2002 Dean’s List Washington University
Earned Media Coverage
- 2019 Johns Hopkins Medicine BME Pioneers: Joshua Vogelstein URL: https://vimeo.com/hartlove/review/331872774/9dacde8acb BME Pioneers
Translation / Technology Transfer Activities
- 2017 – Allen Atlas URL: https://neurodata.io/data/allen_atlas
Anatomical reference atlases that illustrate the adult mouse brain in coronal and sagittal planes. They are the spatial framework for datasets such as in situ hybridization, cell projection maps, and in vitro cell characterization.atlas.brain-map.org.
142 citations, 1058 unique visitors
- 2017 Greenspring Associates URL: https://www.greenspringassociates.com