Joshua Vogelstein: Difference between revisions
mNo edit summary |
mNo edit summary |
||
Line 37: | Line 37: | ||
'''Joshua T. Vogelstein''' is an [[United States|American]] [[biomedical engineer|biomedical engineering professor]] and [[computer scientist]] who is an Assistant Professor of Biomedical Engineering in the Whiting School of Engineering and the Institute for Computational Medicine at the [[Johns Hopkins University]]. He also has an appointment in the Institute for Data Intensive Engineering and Sciences, and he is the director of the Biomedical Data Science focus area for the Johns Hopkins biomedical engineering program.<ref>{{cite web |last1=Joshua |first1=Vogelstein |title=vogelstein cv |url=https://github.com/jovo/cv/blob/master/jovo_cv.pdf |website=github}}</ref> |
'''Joshua T. Vogelstein''' is an [[United States|American]] [[biomedical engineer|biomedical engineering professor]] and [[computer scientist]] who is an Assistant Professor of Biomedical Engineering in the Whiting School of Engineering and the Institute for Computational Medicine at the [[Johns Hopkins University]]. He also has an appointment in the Institute for Data Intensive Engineering and Sciences, and he is the director of the Biomedical Data Science focus area for the Johns Hopkins biomedical engineering program.<ref>{{cite web |last1=Joshua |first1=Vogelstein |title=vogelstein cv |url=https://github.com/jovo/cv/blob/master/jovo_cv.pdf |website=github}}</ref> |
||
Vogelstein's work focuses largely on big and wide data in neuroscience, focusing on statistics of brain graphs [[connectomes]]. He co-directs [https://neurodata.io NeuroData] with [https://www.cs.jhu.edu/faculty/randal-burns/ Randal Burns], which has created an ecosystem of open-source tools for neuroscientists and hosts a collection of open-source data. <ref name="natureneurodata">{{Cite journal | url=https://www.nature.com/articles/d41586-018-07195-2 | doi= |
Vogelstein's work focuses largely on big and wide data in neuroscience, focusing on statistics of brain graphs [[connectomes]]. He co-directs [https://neurodata.io NeuroData] with [https://www.cs.jhu.edu/faculty/randal-burns/ Randal Burns], which has created an ecosystem of open-source tools for neuroscientists and hosts a collection of open-source data. <ref name="natureneurodata">{{Cite journal | url=https://www.nature.com/articles/d41586-018-07195-2 | doi=10.1038/s41592-018-0181-1 | title=A community-developed open-source computational ecosystem for big neuro data | journal=Nature Methods | year=2019 }}</ref> |
||
Joshua Vogelstein also co-founded [https://gigantum.com Gigantum], a platform for creating and collaborating on open-source data.<ref>{{cite web |title=Gigantum |url=gigantum.com}}</ref> |
Joshua Vogelstein also co-founded [https://gigantum.com Gigantum], a platform for creating and collaborating on open-source data.<ref>{{cite web |title=Gigantum |url=gigantum.com}}</ref> |
Revision as of 20:48, 25 March 2019
Joshua Vogelstein | |
---|---|
File:Joshua T Vogelstein.jpg | |
Born | Joshua T. Vogelstein 1981 (age 42–43) United States |
Alma mater | Washington University, St. Louis Johns Hopkins University |
Known for | Connectomics, Graph theory |
Spouse | Kathryn Vogelstein |
Awards | F1000 Prime Recommended (2014), [1] Spotlight, Neural Information Processing Sytems (2013), |
Scientific career | |
Institutions | Johns Hopkins University Biomedical Engineering |
Thesis | OOPSI: A family of optimal optical spike inference algorithms for inferring neural connectivity from population calcium imaging (2009) |
Doctoral advisor | Eric Young |
Other academic advisors | Carey Priebe |
Website | neurodata |
Joshua T. Vogelstein is an American biomedical engineering professor and computer scientist who is an Assistant Professor of Biomedical Engineering in the Whiting School of Engineering and the Institute for Computational Medicine at the Johns Hopkins University. He also has an appointment in the Institute for Data Intensive Engineering and Sciences, and he is the director of the Biomedical Data Science focus area for the Johns Hopkins biomedical engineering program.[2]
Vogelstein's work focuses largely on big and wide data in neuroscience, focusing on statistics of brain graphs connectomes. He co-directs NeuroData with Randal Burns, which has created an ecosystem of open-source tools for neuroscientists and hosts a collection of open-source data. [3]
Joshua Vogelstein also co-founded Gigantum, a platform for creating and collaborating on open-source data.[4]
Education
Vogelstein did his undergraduate studies at Washington University in St. Louis where he received his Bachelor of Science degree in Biomedical Engineering in 2002. From 2003 to 2009 he studied at Johns Hopkins University, where he received his Master of Science in Applied Mathematics & Statistics and PhD in Neuroscience, developing algorithms for spike detection in calcium imaging.
Career and research
Joshua Vogelstein has been on the advisory board for numerous commercial companies, including Mind-X, Gigantum, and PivotalPath. He was also the Co-Founder of the data science company d8alab. From 2014-2018, Vogelstein was the Director of Undergraduate Studies for the Institute for COmputational Medicine. He has also held positions as an Endeavor Scientist at the Child Mind Institute, a Senior Research Scientist for the departments of Statistical Sciences & Mathematics & Neurobiology at Johns Hopkins University, and as Affiliated Faculty at Duke University.
Vogelstein has also held the position of Chief Data Scientist at Global Domain Partners, LLC.[5]
External links
- [1] NeuroData website
- [2] Joshua Vogelstein's blog
- [3] Joshua Vogelstein's personal website
- github Joshua Vogelstein's personal CV
References
- ^ "NeuroData Awards".
- ^ Joshua, Vogelstein. "vogelstein cv" (PDF). github.
- ^ "A community-developed open-source computational ecosystem for big neuro data". Nature Methods. 2019. doi:10.1038/s41592-018-0181-1.
- ^ [gigantum.com "Gigantum"].
{{cite web}}
: Check|url=
value (help) - ^ "global domain partners".
![](http://upload.wikimedia.org/wikipedia/en/thumb/4/4a/Commons-logo.svg/30px-Commons-logo.svg.png)