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'''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=https://doi.org/10.1038/s41592-018-0181-1 | title=A community-developed open-source computational ecosystem for big neuro data | journal=Nature Methods | year=2019 }}</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=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 materWashington University, St. Louis
Johns Hopkins University
Known forConnectomics, Graph theory
SpouseKathryn Vogelstein
AwardsF1000 Prime Recommended (2014), [1]

Spotlight, Neural Information Processing Sytems (2013),

Spotlight, Computational and Systems Neuroscience (2008)
Scientific career
InstitutionsJohns Hopkins University
Biomedical Engineering
ThesisOOPSI: A family of optimal optical spike inference algorithms for inferring neural connectivity from population calcium imaging (2009)
Doctoral advisorEric Young
Other academic advisorsCarey Priebe
Websiteneurodata.io

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]

  • [1] NeuroData website
  • [2] Joshua Vogelstein's blog
  • [3] Joshua Vogelstein's personal website
  • github Joshua Vogelstein's personal CV

References

  1. ^ "NeuroData Awards".
  2. ^ Joshua, Vogelstein. "vogelstein cv" (PDF). github.
  3. ^ "A community-developed open-source computational ecosystem for big neuro data". Nature Methods. 2019. doi:10.1038/s41592-018-0181-1.
  4. ^ [gigantum.com "Gigantum"]. {{cite web}}: Check |url= value (help)
  5. ^ "global domain partners".