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BEGIN:VEVENT
SUMMARY:Talk by Daphne Koller\, CEO of insitro
DTSTART:20231116T173000
DTEND:20231116T183000
DTSTAMP:20260428T060534Z
UID:cc85837fa4f78716ed1357031725a492d63b33b556fe265df83c281f
CATEGORIES:Conferences - Seminars
DESCRIPTION:Daphne Koller\nTransforming Drug Discovery using Digital Biolo
 gy\nby Daphne Koller\, CEO and Founder of insitro\n\nThursday\, November 1
 6 - 5:30 pm\nRoom SV1717 and online \n\n\nProgramme\n \n\n	5:30 pm - Welc
 oming words \n	\n		Bart Deplancke\, Full Professor\, Laboratory of Systems
  Biology and Genetics\, EPFL\n	\n	\n	5:35 pm - Remote talk\n	\n		Daphne Ko
 ller\, CEO and Founder of insitro\n	\n	\n	6:05 pm - Q&A*\n	\n		Moderation 
 by Bart Deplancke \n	\n	\n	6:30 pm - End of the event \n\n\n*Please note t
 hat Daphne Koller will participate remotely\, but will answer both questio
 ns from the audience in SV1717 and from online attendees.\n\nAbstract \n\n
 Modern medicine has given us effective tools to treat some of the most sig
 nificant and burdensome diseases. At the same time\, it is becoming consis
 tently more challenging and more expensive to develop new therapeutics. A 
 key factor in this trend is that we simply don't understand the underlying
  biology of disease\, and which interventions might meaningfully modulate 
 clinical outcomes and in which patients. To achieve this goal\, we are bri
 nging together large amounts of high content data\, taken both from humans
  and from human-derived cellular systems generated in our own lab. Those a
 re then used to learn a meaningful representation of biological states via
  cutting edge machine learning methods\, which enable us to make predictio
 ns about novel targets\, coherent patient segments\, and the clinical effe
 ct of molecules. Our ultimate goal is to develop a new approach to drug de
 velopment that uses high-quality data and ML models to design novel\, safe
 \, and effective therapies that help more people\, faster\, and at a lower
  cost. \n\n\nAbout Daphne Koller\n\nDaphne Koller is CEO and Founder of i
 nsitro\, a machine learning-driven drug discovery and development company.
  Daphne is also co-founder of Engageli\, was the Rajeev Motwani Professor 
 of Computer Science at Stanford University\, where she served on the facul
 ty for 18 years\, the co-CEO and President of Coursera\, and the Chief Com
 puting Officer of Calico Labs. She is the author of over 300 refereed publ
 ications with an h-index of 146. Daphne was recognized as one of TIME Maga
 zine’s 100 most influential people in 2012. She received the MacArthur F
 oundation Fellowship in 2004\, the ACM Prize in Computing in 2008\, the AC
 M AAAI Allen Newell Award in 2019\, and the AnitaB.org Technical Leadershi
 p Abie Award Winner in 2022. She was inducted into the National Academy of
  Engineering in 2011 and elected a fellow of the American Association for 
 Artificial Intelligence in 2004\, the American Academy of Arts and Science
 s in 2014\, and the International Society of Computational Biology in 2017
 .
LOCATION:SV 1717 https://plan.epfl.ch/?room==SV%201717 https://epfl.zoom.u
 s/j/66272149415
STATUS:CONFIRMED
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