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SUMMARY:IEM Seminar Series: Panning for insights in medicine and beyond: N
 ew frontiers in machine learning interpretability
DTSTART:20220906T100000
DTEND:20220906T110000
DTSTAMP:20260916T034722Z
UID:47a284b75227cc2c2767d671a2fb1489b2e6e408d2021f7c16c0b521
CATEGORIES:Conferences - Seminars
DESCRIPTION:Mihaela van der Schaar\,\nJohn Humphrey Plummer Professor of M
 achine Learning\, AI\, and Medicine\,\nUniversity of Cambridge\nAbstract\n
 Medicine has the potential to be transformed by machine learning (ML) by a
 ddressing core challenges such as time-series forecasts\, clustering (phen
 otyping)\, and heterogeneous treatment effect estimation. However\, to be 
 embraced by clinicians and patients\, ML approaches need to be interpretab
 le. So far though\, ML interpretability has been largely confined to expla
 ining static predictions.  \n \nIn this keynote\, I describe an extensi
 ve new framework for ML interpretability. This framework allows us to 1) i
 nterpret ML methods for time-series forecasting\, clustering (phenotyping)
 \, and heterogeneous treatment effect estimation using feature and example
 -based explanations\, 2) provide personalized explanations of ML methods w
 ith reference to a set of examples freely selected by the user\, and 3) un
 ravel the underlying governing equations of medicine from data\, enabling 
 scientists to make new discoveries.\n \nBio\nMihaela van der Schaar is th
 e John Humphrey Plummer Professor of Machine Learning\, Artificial Intelli
 gence and Medicine at the University of Cambridge and a Fellow at The Alan
  Turing Institute in London. In addition to leading the van der Schaar Lab
 \, Mihaela is founder and director of the Cambridge Centre for AI in Medic
 ine (CCAIM).\n \nMihaela was elected IEEE Fellow in 2009. She has receive
 d numerous awards\, including the Oon Prize on Preventative Medicine from 
 the University of Cambridge (2018)\, a National Science Foundation CAREER 
 Award (2004)\, 3 IBM Faculty Awards\, the IBM Exploratory Stream Analytics
  Innovation Award\, the Philips Make a Difference Award and several best p
 aper awards\, including the IEEE Darlington Award.\n \nMihaela is persona
 lly credited as inventor on 35 USA patents (the majority of which are list
 ed here)\, many of which are still frequently cited and adopted in standar
 ds. She has made over 45 contributions to international standards for whic
 h she received 3 ISO Awards. In 2019\, a Nesta report determined that Miha
 ela was the most-cited female AI researcher in the U.K.\n 
LOCATION:ELA 1 https://plan.epfl.ch/?room==ELA%201 https://epfl.zoom.us/j/
 67369137525
STATUS:CONFIRMED
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