Biography:Chris Wiggins (data scientist)

From HandWiki
Chris Wiggins
Alma mater
EmployerColumbia University
Known forco-founding hackNY
Chief Data Scientist at The New York Times

Chris Wiggins is an associate professor of applied mathematics at Columbia University.[1] In 2010 he co-founded hackNY, a nonprofit organization focused on connecting students with startups in New York City.[2] Since 2014, he has been the Chief Data Scientist at The New York Times .[3][4]

Career

In 2017, Chris Wiggins, along with Matthew Jones, introduced a new course to Columbia called "Data: Past, Present, Future".[5] The course syllabus, lectures, labs, and resources are available online.[6]

Notable works

  • "ARACNE: an algorithm for the reconstruction of gene regulatory networks in a mammalian cellular context"[7]

Awards

In 2007, he received the Janette and Armen Avanessians Diversity Award at Columbia University.[8]

Bibliography

  • Spector, Alfred Z.; Norvig, Peter; Wiggins, Chris; Wing, Jeannette M. (2022). Data Science in Context: Foundations, Challenges, Opportunities. Cambridge University Press. ISBN 9781009272230. [9]
  • Jones, Matthew L.; Wiggins, Chris (2023). How Data Happened: A History from the Age of Reason to the Age of Algorithms. W.W. Norton. ISBN 9781324006732. [10]

References

  1. "Chris H. Wiggins". https://datascience.columbia.edu/chris-h-wiggins. 
  2. Ovide, Shira (2015-02-02). "Steering Grads to Start-Ups - WSJ". Wall Street Journal. https://www.wsj.com/articles/SB10001424052748703302604575294740285039332. 
  3. Hunter, Leah (2014-07-24). "New York Times Chief Data Scientist Chris Wiggins On The Way We Create And Consume Content Now". https://www.fastcompany.com/3033254/new-york-times-chief-data-scientist-chris-wiggins-on-the-way-we-create-. 
  4. "NY Times Taps Prof. Wiggins as Chief Data Scientist" (in en). 2017-01-31. https://www.engineering.columbia.edu/news/ny-times-taps-prof-wiggins-chief-data-scientist. 
  5. "How the Core Curriculum Inspired the NYT's Chief Data Scientist's Latest Project". http://columbiaspectator.com/the-eye/2018/02/07/how-the-core-curriculum-inspired-the-nyts-chief-data-scientists-latest-project/. 
  6. "data: past, present, and future". https://data-ppf.github.io/. 
  7. Margolin, Adam A.; Nemenman, Ilya; Basso, Katia; Wiggins, Chris; Stolovitzky, Gustavo; Favera, Riccardo Dalla; Califano, Andrea (2006-03-20). "ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context". BMC Bioinformatics 7 (1): S7. doi:10.1186/1471-2105-7-S1-S7. ISSN 1471-2105. PMID 16723010. 
  8. "Wiggins Wins Avanessians Diversity Award". 28 April 2017. https://apam.columbia.edu/wiggins-wins-avanessians-diversity-award. 
  9. "Data Science in Context: Foundations, Challenges, Opportunities". 2022-05-27. https://datascience.columbia.edu/news/2022/data-science-in-context-foundations-challenges-opportunities/. 
  10. Greenawalt, Marc (2022-12-02). "Spring 2023 Announcements: Science". https://www.publishersweekly.com/pw/by-topic/new-titles/adult-announcements/article/91035-spring-2023-announcements-science.html.