DAPHNE KOLLER
LIFETIME OF ACHIEVEMENT IN AI
More than 30 years ago , Daphne Koller was the first machine learning hire in Stanford University ’ s Computer Science department . Now , she is a celebrated professor , thought leader and biomedical machine learning pioneer .
In addition to being well-known for her contributions to computer science , machine learning and biomedical engineering , Daphne co-founded online education platform Coursera with Andrew Ng in 2012 . Until 2016 , she served as the organisation ’ s co-CEO and President , democratising access for all to achieve a world-class education .
Koller also co-founded the digital learning platform Engageli and currently serves as a board member for the organisation .
A pioneer in AI biotechnology Completing her PhD at Stanford University in 1993 , Daphne ’ s research interests are primarily in representation , inference , learning and decision-making and their applications to computer vision and computational biology .
Her work in this field led her to be elected a member of the National Academy of Engineering in 2011 for contributions to probabilistic models with applications to robotics , vision and biology .
After leaving her position as Chief Computing Officer at Calico ( an Alphabet subsidiary ) in 2018 , she founded Insitro , a startup organisation committed to drug discovery and development . As founder and CEO , Daphne oversees the
DAPHNE KOLLER
TITLE : FOUNDER AND CEO COMPANY : INSITRO INDUSTRY : AI
LOCATION : SAN FRANCISCO , UNITED STATES
For much of her career , Daphne Koller has operated within the boundaries of machine learning and biomedicine . She is one of the co-founders of the online education platform Coursera and was a professor in Computer Science at Stanford University .
organisation ’ s processes , which includes fusing machine learning and genomics to predict and test treatments for diseases .
Daphne has also been the recipient of numerous awards and accolades , including the MacArthur Foundation Fellowship in 2004 and the ACM Prize in Computing in 2008 . More recently , she was made a fellow of the American Academy of Arts and Sciences in 2014 and a member of the National Academy of Sciences in 2023 .
With the healthcare industry seeing increasing difficulties in medicine development , Daphne states that the key will be to train powerful machine learning techniques on enough high-quality data to succeed .
“ We believe that , for many of these phases , we can develop machine learning models to help predict the outcome
26 May 2024