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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. Support vector machine active learning with applications to text classification. S Tong, D Koller. Journal of machine learning research 2 (Nov), 45-66. , 2001. 3795. 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.

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

    Visionary, Inspiring, Humble. 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 ...

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  6. 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.

  7. Nov 16, 2022 · We’re entering a “new era of science”—we finally have enough data and technology to truly enable better drugs for patients, says insitro CEO Daphne Koller. Daphne Koller on machine learning in drug discovery: "It will be a paradigm shift" | McKinsey

  8. Welcome to DAGS -- Professor Daphne Koller's research group. Our main research focus is on dealing with complex domains that involve large amounts of uncertainty. Our work builds on the framework of probability theory, decision theory, and game theory, but uses techniques from artificial intelligence and computer science to allow us to apply ...

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