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  1. Daphne Koller (Hebrew: דפנה קולר; born August 27, 1968) is an Israeli-American computer scientist. She was a professor in the department of computer science at Stanford University and a MacArthur Foundation fellowship recipient. She is one of the founders of Coursera, an online education platform.

  2. Professor Daphne Koller Contact Information: home | biography | research | papers | my group courses | professional activities | FAQ | personal

  3. www.insitro.com › leadership › daphne-kollerDaphne Koller - insitro

    Daphne Koller is CEO and founder of insitro, a machine learning-driven drug discovery and development company transforming the way drugs are discovered and delivered to patients. She was the co-founder, co-CEO, and president of online education platform Coursera, the largest platform for massive open online courses (MOOCs), which has reached ...

  4. Support vector machine active learning with applications to text classification. S Tong, D Koller. Journal of machine learning research 2 (Nov), 45-66. , 2001. 3788. 2001. A gene-coexpression network for global discovery of conserved genetic modules. JM Stuart, E Segal, D Koller, SK Kim. science 302 (5643), 249-255.

  5. Daphne Koller - Biography. I am the Rajeev Motwani Professor in the Computer Science Department at Stanford University. I joined the department in September 1995. I also have a courtesy appointment in the Department of Pathology.

  6. Bio. Professor Daphne Koller joined the faculty at Stanford University in 1995, where she is now the Rajeev Motwani Professor in the School of Engineering. Her main research interest is in developing and using machine learning and probabilistic methods to model and analyze complex domains.

  7. Nov 3, 2020 · Daphne Koller: How machine learning is transforming drug discovery. A veteran of the age of artificial intelligence explains why she left academia for a chance to try to change the pharmaceutical industry. November 3, 2020. |. Stanford Engineering Staff. This article is part of the series: The Future of Everything Podcast.

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