Timothy Jurka

Timothy Paul Jurka
Born (1988-09-21)21 September 1988
Stanford, California
Residence United States
Nationality US
Fields Computer Science
Political Science
Alma mater University of California, Davis B.S. Computer Science
Ph.D. Political Science (dropped out)[1]
Known for Contributions to document classification software

Timothy Paul Jurka (born September 21, 1988) is a Polish-American computer scientist and political scientist. He is the son of computational biologist Jerzy Jurka.[2]

Background

Jurka is best known for his work on text classification software, including the development of RTextTools and MaxEnt for the R statistical programming language.[3][4][5][6][7] He currently manages the data teams that build the LinkedIn news feed. Previously, Jurka served as the architect of machine learning algorithms for news recommendations in the Pulse news reading application, which was acquired by LinkedIn in 2013.[8][9]

Additionally, Jurka has collaborated on numerous projects in political science spanning media framing,[10][11] civic engagement,[12] and tobacco and immunization policy.[13]

References

  1. ↑ University of California, Davis, Department of Political Science
  2. ↑ National Center for Biotechnology Information "Jerzy Jurka: June 4, 1950 – July 19, 2014"
  3. ↑ Google Scholar "Timothy P. Jurka"
  4. ↑ The R Journal "RTextTools: A Supervised Learning Package for Text Classification"
  5. ↑ The R Journal "maxent: An R Package for Low-memory Multinomial Logistic Regression with Support for Semi-automated Text Classification"
  6. ↑ IBM developerWorks "Data Mining Patterns Derived from SMS Mobile Data"
  7. ↑ DataScience+ "Sentiment analysis with machine learning in R"
  8. ↑ TechCrunch "LinkedIn Acquires Pulse For $90M In Stock And Cash"
  9. ↑ CrunchBase "Timothy Jurka"
  10. ↑ University of Chicago Press "Making the News: Politics, the Media, and Agenda Setting"
  11. ↑ Washington Monthly "College Students on the Debate: Agreeing with Obama, Agreeing that Romney Won"
  12. ↑ Social Science Research Network "Colleague Crowdsourcing: A Method for Incentivizing National Student Engagement and Large-N Data Collection"
  13. ↑ State Politics and Policy Conference "Agendas and Alternatives in the American States: Determinants of State Legislative Attention to Tobacco and Immunizations"
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