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BEGIN:VEVENT
DTSTAMP:20260506T191835Z
DTSTART;VALUE=DATE-TIME:20240327T130000
DTEND;VALUE=DATE-TIME:20240327T140000
SUMMARY:BMS Seminar: Microbial Communities through a Computational Framew
 ork\, Dr Sara Kalvala\, Department of Computer Science\, University of W
 arwick
TZID:Europe/London
UID:20240327-8a1785d88dac79c6018dc10500285aa9@warwick.ac.uk
CREATED:20240222T080255Z
DESCRIPTION:Abstract: Micro-organisms are all around us -- usually formin
 g rich multi-species communities where hundreds of thousands of individu
 als interact\, whether to cooperate\, compete\, or feed on each other\, 
 and so affecting many aspects of our day-to-day life. There is also sign
 ificant interest by mathematicians\, computer scientists and even social
  scientists and philosophers in studying microbial communities\, as conc
 epts of cooperation and competition are relevant not only at the micro-o
 rganism level but everywhere -- between nations\, between animals\, betw
 een mobile phone users\, and so on. As a computer scientist\, I rely on 
 the foundations provided by game theory and agent-based modelling\, and 
 use these to tackle the particular characteristics of spatial distributi
 on of microbes and their short-range interactions. Simulations allow wha
 t-if scenarios to be quickly used to understand situations which are oft
 en too expensive or even impossible to set up experimentally. In this se
 ssion I will introduce the general concepts of Multi-Agent Systems and G
 ame Theory\, from a computational perspective. I will then discuss how a
 bstract models can be used to understand how microbes organize themselve
 s into colonies and work together\, and on the flip side how this unders
 tanding of how microbes work together can inspire new computational solu
 tions to problems beyond life sciences. Biography: I am a Reader in Comp
 uter Science at the University of ÌÇÐÄTV. I work broadly in the area of
  Computational Biology\, and I also collaborate with biologists in the i
 nterdisciplinary field of Synthetic Biology\, where I use my expertise i
 n program compilation to develop techniques to map desired cell function
 alities into genetic code.
LOCATION:A151\, Medical School Building
CATEGORIES:BiomedicalSciences,DivisionalSeminars
LAST-MODIFIED:20240222T080255Z
ORGANIZER;CN=Jas Bains:
END:VEVENT
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