BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:AI in chemistry and beyond: Learning Chemical Intuition from Human
 s in the Loop
DTSTART:20230516T151500
DTEND:20230516T161500
DTSTAMP:20260504T235944Z
UID:ac2b022118f1a55932a3febae365d6ab8c68fc7e218a59090b2e3f61
CATEGORIES:Conferences - Seminars
DESCRIPTION:Oh-hyeon studied computational neuroscience at EPFL with Prof.
  Herzog\, where she researched the fundamental aspects of computer vision
  models. She then started her career at Novartis focusing on machine lea
 rning research for drug discovery. Soon\, she will start a new challenge 
 at a med-tech company (SynpleChem) for lab automation.  \nThe lead optim
 ization process in drug discovery campaigns is an arduous endeavour where 
 the input of many medicinal chemists is weighed in order to reach a desire
 d molecular property profile. Building the expertise to successfully drive
  such projects collaboratively is a very time-consuming process that typic
 ally spans many years within a chemist's career. In this work\, we aim to 
 replicate this process by applying artificial intelligence learning-to-ran
 k techniques on feedback that was obtained from 35 chemists at Novartis. W
 e exemplify the usefulness of the learned proxies in routine tasks such as
  compound prioritization\, motif rationalization\, and biased de novo drug
  design. 
LOCATION:CH G1 495 https://plan.epfl.ch/?room==CH%20G1%20495
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR