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VERSION:2.0
PRODID:-//Memento EPFL//
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SUMMARY:Machine learning for protein design
DTSTART:20221212T120000
DTEND:20221212T131500
DTSTAMP:20260406T212951Z
UID:3fd03df5c0136d7bb92e7f1711f0bed093fafcae4ac022def9329ca9
CATEGORIES:Conferences - Seminars
DESCRIPTION:Casper Goverde\, Phd Comutational and Quantitative Biology\nEv
 er wondered what happens during a Ph.D.? Unsure about your next career ste
 ps? Interested in academia but have many questions? Our DAG Talk series is
  the opportunity to interact first-hand with figures in the field!\nWe are
  proud to invite Casper Goverde\, a Ph.D. in Computational and Quantitativ
 e Biology at EPFL. Casper will talk about how the combination of deep lear
 ning with a vast amount of experimental information on protein sequences a
 nd structure has revolutionized the field of protein design in recent year
 s. While these “folding networks” can solve structures and predict the
  folding of complex proteins\, have they captured the fundamental principl
 es?\nCasper will show us the challenges he faces in his research and give 
 insight into how data science is applied in the field. \nThe event will b
 e held as a  “Lunch & Learn” event on Monday\, December 12th at 12.15
  PM. We will offer sandwiches (free lunch!) that you can eat during the pr
 esentation\, followed by a Q&A session. Spots are limited to 30 participan
 ts\, so sign up now!\n\n 
LOCATION:https://plan.epfl.ch/?room==SV%201717
STATUS:CONFIRMED
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