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SUMMARY:Understanding life - from genomes to organisms - using AI - Profes
 sor Ewan Birney
DTSTART:20251111T190000Z
DTEND:20251111T203000Z
UID:TALK237019@talks.cam.ac.uk
CONTACT:129301
DESCRIPTION:Living organisms are the most complex objects we know of in th
 e universe\, with many different molecules\, chemical reactions and proces
 ses arranged in precise patterns that give rise to cells\, tissues\, organ
 s and individuals. We can measure many of these molecules\, from DNA throu
 gh RNA to proteins at scale\, and we can often place these molecules\, cel
 ls and tissue structures into 3 dimensiona space\, sometimes in living sys
 tems with changes over time. The result is an increasingly detailed observ
 ation on life\, from genome onwards. However\, analysing these multi-modal
  datasets is challenging for a variety of reasons. Over the last decade Ma
 chine Learning\, Deep Learning and AI  - all part of a continuum of high p
 arameter statistical models has been making great strides in predicting an
 d sometimes providing insight into this work. \n\n   I will provide a brie
 f overview of the technologies and challenges in this area\, outline EMBL
 ’s strategic role in Europe in coordinating the data and insight for the
 se efforts and then provide some exemplars from my own research and other 
 colleagues of using AI to understand life.\n\nTalks are priced at £4 for 
 non-Scientific Society members. Scientific Society members will have free 
 access to all our talks. Lifetime membership costs £15 and gives free acc
 ess to all talks\, members-only events and priority access to oversubscrib
 ed SciSoc events.
LOCATION:Pfizer Lecture Theatre\,  Department of Chemistry\, Lensfield Roa
 d
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