Biography:Drew Conway

From HandWiki

Drew Conway is an American data scientist known for his venn diagram definition of data science[1][2][3] as well as applying data science to study terrorism. He is currently the founder and CEO at technology startup Alluvium,[4] as well as advisor at multiple technology startups.[5]

Early life and education

Drew received his BA from Hamilton College (New York) in 2004, where he double-majored in Computer Science and Political Science. He was awarded a MacCracken fellowship and earned his Ph.D. in Political Science from New York University in May 2013. Between his studies, he worked in Washington, DC in the defense and intelligence communities for four years. As “an all-source analyst,” his specific role was to apply statistical and computational methods to problems of social dynamics and organization of interest to the DoD/IC.[6]

Career

Drew is well known for his work in the New York City technology community. He was the Head of Data at Project Florida,[7] and he also co-founded DataKind[8] and DataGotham. He was previously the Scientist in Residence for IA Ventures.[9] He has talked on multiple forums for data science.[10][11][12][13] He has also acted as senior advisor to New York City's Mayor's Office of Data Analytics.[14]

Books Written

Drew Conway is the co-author alongside John Myles White of the book Machine Learning for Hackers, a book of case studies that illustrates data science from a hacker's perspective.[15] He is also co-author of Machine Learning for Email: Spam Filtering and Priority Inbox.[16]

References

  1. "The Data Science Venn Diagram". http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram. Retrieved 2016-01-02. 
  2. "The Data Science Venn Diagram". http://blog.revolutionanalytics.com/2010/10/the-data-science-venn-diagram.html. Retrieved 2016-01-02. 
  3. "- Google Scholar". https://scholar.google.co.in/scholar?cites=7034475642972106631&as_sdt=2005&sciodt=0,5&hl=en. Retrieved 2016-01-02. 
  4. "Drew Conway on Using Data Science for the Physical World". https://www.forbes.com/sites/joshwolfe/2016/03/03/using-data-science-for-the-physical-world/#79a0d6543659. Retrieved 2016-03-05. 
  5. Conway, Drew. "Vita --- Drew Conway". http://drewconway.com/vitae/. 
  6. "Analyzing Terrorist Networks - Theories & Techniques Drew Conway". http://riskecon.com/wp-content/uploads/2012/02/Conway-Socio_Terrorism.pdf. 
  7. "Drew Conway - Head of Data @ Sum | CrunchBase". https://www.crunchbase.com/person/drew-conway#/entity. Retrieved 2016-01-02. 
  8. "Data Mining Start-Up Enigma to Expand Commercial Business". The New York Times. 23 June 2015. https://www.nytimes.com/2015/06/23/technology/data-mining-start-up-enigma-to-expand-commercial-business.html. Retrieved 2 January 2016. 
  9. "IA Ventures - Drew Conway". Archived from the original on 2015-12-05. https://web.archive.org/web/20151205001725/http://www.iaventures.com/team/drew. Retrieved 2016-01-02. 
  10. "Drew Conway on Large-Scale Non-Expert Text Coding". https://www.kickstarter.com/backing-and-hacking/drew-conway-on-large-scale-non-expert-text-coding. Retrieved 2016-01-02. 
  11. "Data Scientist Profile: Drew Conway, Scientist-in-Residence at IA Ventures" (in en-US). https://metamarkets.com/2012/data-scientist-profile-drew-conway/. Retrieved 2016-01-02. 
  12. "Data Science Through the Lens of Social Science". http://videolectures.net/kdd2014_conway_social_science/. Retrieved 2016-01-02. 
  13. https://www.youtube.com/watch?v=rchKhwtpeTg
  14. "Archived copy". Archived from the original on 2016-01-17. https://web.archive.org/web/20160117205348/http://www.nyc.gov/html/analytics/downloads/pdf/annual_report_2013.pdf. Retrieved 2015-01-02. 
  15. "Interview with Drew Conway – Author of "Machine Learning for Hackers" | Simply Statistics". http://simplystatistics.org/2012/04/13/interview-with-drew-conway-author-of-machine/. Retrieved 2016-01-02. 
  16. "Machine Learning for Email: Spam Filtering and Priority Inbox". https://www.amazon.com/Machine-Learning-Email-Filtering-Priority/dp/1449314309/. Retrieved 5 January 2020.