Daphne Koller (Hebrew: דפנה קולר; born August 27, 1968) is an Israeli-American who was a Professor in the Department of Computer Science at Stanford University and a MacArthur Fellowship recipient. She is one of the founders of Coursera, an online education platform. Her general research area is artificial intelligence and its applications in the biomedical sciences. Koller was featured in a 2004 article by MIT Technology Review titled "10 Emerging Technologies That Will Change Your World" concerning the topic of Bayesian machine learning.
Koller in 2019
|Education||Hebrew University of Jerusalem (BSc, MSc)|
Stanford University (PhD)
|Known for||Machine learning|
|Awards||ISCB Fellow (2017)|
IJCAI Computers and Thought Award (2001)
MacArthur Fellow (2004)
ACM Prize in Computing (2007)
University of California, Berkeley
|Thesis||From Knowledge to Belief (1994)|
|Doctoral advisor||Joseph Halpern|
Koller received a bachelor's degree from the Hebrew University of Jerusalem in 1985, at the age of 17, and a master's degree from the same institution in 1986, at the age of 18. She completed her PhD at Stanford in 1993 under the supervision of Joseph Halpern.
Career and researchEdit
|"Daphne Koller: What we're learning from online education", TED talk, June 2012|
|Daphne Koller, Co-Founder of Coursera – February 20, 2013, Darden School of Business|
After her PhD, Koller did postdoctoral research at University of California, Berkeley from 1993 to 1995, and joined the faculty of the Stanford University Computer Science Department in 1995. She was named a MacArthur Fellow in 2004, was elected a member of the National Academy of Engineering in 2011 and was elected a fellow of the American Academy of Arts and Sciences in 2014.
She and Andrew Ng, a fellow Stanford computer science professor in the AI lab, launched Coursera in 2012. She served as the co-CEO with Ng, and then as President of Coursera. She was recognized for her contributions to online education by being named one of Newsweek's 10 Most Important People in 2010, Time magazine's 100 Most Influential People in 2012, and Fast Company's Most Creative People in 2014.
Koller is primarily interested in representation, inference, learning, and decision making, with a focus on applications to computer vision and computational biology. Along with Suchi Saria and Anna Penn of Stanford University, Koller developed PhysiScore, which uses various data elements to predict whether premature babies are likely to have health issues.
Honors and awardsEdit
Her honors and awards include:
- 1994: Arthur Samuel Thesis Award
- 1996: Sloan Foundation Faculty Fellowship
- 1998: Office of Naval Research Young Investigator Award
- 1999: Presidential Early Career Award for Scientists and Engineers (PECASE)
- 2001: IJCAI Computers and Thought Award
- 2003: Cox Medal at Stanford
- 2004: MacArthur Fellow
- 2004: Oswald G. Villard Fellow for Undergraduate Teaching at Stanford University
- 2007: ACM Prize in Computing
- 2008: ACM/Infosys Award
- 2010: Newsweek's 10 Most Important People
- 2010: Huffington Post 100 Game Changers
- 2011: Elected to National Academy of Engineering
- 2013: Time magazine's 100 Most Influential People
- 2014: Elected fellow of the American Academy of Arts and Sciences
- 2014: Fast Company's Most Creative People in Business
- 2017: Elected ISCB Fellow by the International Society for Computational Biology (ISCB)
- 2019: ACM-AAAI Allen Newell Award for contributions with significant breadth across computing, or that bridge computer science and other disciplines 
Media related to Daphne Koller at Wikimedia Commons
- "פרופ' דן שכטמן נבחר לאקדמיה האמריקנית לאמנויות ומדעים | Technion - Israel Institute of Technology".
- Daphne Koller publications indexed by Google Scholar
- Daphne Koller at the Mathematics Genealogy Project
- Saria, Suchi (2011). The digital patient : machine learning techniques for analyzing electronic health record data. stanford.edu (PhD thesis). Stanford University. OCLC 748681635.
- "Daphne Koller". ai.stanford.edu.
- New York Times Profile of Daphne Koller "Pursuing the Next Level of Artificial Intelligence"
- Daphne Koller at DBLP Bibliography Server
- Segal, E.; Shapira, M.; Regev, A.; Pe'er, D.; Botstein, D.; Koller, D.; Friedman, N. (2003). "Module networks: Identifying regulatory modules and their condition-specific regulators from gene expression data". Nature Genetics. 34 (2): 166–176. doi:10.1038/ng1165. PMID 12740579.
- "10 Emerging Technologies That Will Change Your World", MIT Technology Review, February 2004
- 2009. Graphical models (with Nir Friedman). MIT Press. ISBN 978-0262013192
- Daphne Koller at TED
- "Profile details: Daphne Koller". marquiswhoswho.com. Marquis Who's Who. Retrieved August 7, 2012. (subscription required)
- "Daphne Koller, Stanford University". phdtree.org. 23 November 2013. Archived from the original on 23 November 2013.
- "Daphne Koller". awards.acm.org.
- "Daphne Koller Bids Farewell to Coursera, Hello to Calico - EdSurge News". edsurge.com. 18 August 2016.
- "AI Researcher Daphne Koller Heading New Machine Learning Drug Discovery Venture". mobihealthnews.com. 2 May 2018.
- "10 Machine Learning Experts You Need to Know - Dataconomy". Dataconomy.com. 2014-09-16. Retrieved 2018-02-03.
- "Artificial Intelligence – A Brave New World for Pharma | eyeforpharma". social.eyeforpharma.com. Retrieved 2018-02-03.
- Daphne Koller and Nir Friedman (2009). Probabilistic Graphical Models. MIT Press. ISBN 978-0-262-01319-2.
- "Probabilistic Graphical Models 1: Representation - Coursera". Coursera.org.
- "CURRICULUM VITAE FOR DAPHNE KOLLER". ai.stanford.edu. Retrieved 2019-03-17.
- "Hennessy announces eight new Bass University Fellows". news.stanford.edu. Stanford University. Retrieved 2018-11-17.
- Emanuel, Ezekiel. "Time magazine's 100 Most Influential People". Time.
- "Fast Company's Most Creative People in Business". fastcompany.com.
- "February 13, 2017: The International Society for Computational Biology Names Seven Members as the ISCB Fellows Class of 2017". iscb.org. Retrieved 13 February 2017.
- "The ACM AAAI Allen Newell,computer science and other disciplines". awards.acm.org. Retrieved 22 January 2020.
- Falcon, William (November 30, 2018). "This Is The Future Of AI According To 23 World-Leading AI Experts". Forbes. Retrieved March 20, 2019.