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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. Daphne Koller (27 de agosto de 1968) é uma cientista da computação israelense-estadunidense, professora do Departamento de Ciência da Computação da Universidade Stanford. [1] Ela é co-fundadora do Coursera , uma plataforma educacional online e criadora do formato Massive Open Online Courses (MOOCs).

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

  5. 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 ...

  6. Daphne Koller is a leading researcher in machine learning and probabilistic methods, and the founder of CURIS, a summer program for undergraduates. She also teaches online courses on Coursera, covering topics such as computational biology, medicine, and semantic understanding.

  7. www.nature.com › articles › d41573/019/00115-7Daphne Koller - Nature

    9 de jul. de 2019 · Daphne Koller is the founder and CEO of insitro, a biotech company that generates high-quality data for machine learning applications in drug discovery. She talks about the challenges, opportunities and innovations in this field, and how to foster computational excellence in biopharma.