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UID:pretalx-juliacon2024-UQWX7N@pretalx.com
DTSTART;TZID=CET:20240710T190000
DTEND;TZID=CET:20240710T193000
DESCRIPTION:The poster studies the optimal distributed architecture to run 
 simulations with Julia-based models in the field of Systems Biology. Julia
  parallel framework of distributing the code across remote workers is appl
 ied to different cluster configurations: managed by HTCondor and Kubernete
 s through Julia interfaces ClusterManagers.jl and K8ClusterManagers.jl. Th
 e poster summarizes InSysBio experience and presents pros and cons of buil
 ding such computational environment for modeling and simulations.
DTSTAMP:20260520T140030Z
LOCATION:Function (4.1)
SUMMARY:A Computational Environment for Simulations in Systems Biology - Iv
 an Borisov
URL:https://pretalx.com/juliacon2024/talk/UQWX7N/
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UID:pretalx-juliacon2024-MVFTEK@pretalx.com
DTSTART;TZID=CET:20240712T114000
DTEND;TZID=CET:20240712T115000
DESCRIPTION:Practical identifiabilty based on Profile Likelihood is a cruci
 al step in determining how well the parameters of a mechanistic model can 
 be recovered from the experimental data. What packages are available to ad
 dress this problem in Julia and what does Julia SciML community lack? How 
 Profile likelihood-based methods can be applied to predictability analysis
 ? The talk will cover the packages LikelihoodProfiler.jl\, ProfileLikeliho
 od.jl and the desirable improvements to Julia SciML ecosystem.
DTSTAMP:20260520T140030Z
LOCATION:While Loop (4.2)
SUMMARY:Profile Likelihood-based Practical Identifiability in Julia - Ivan 
 Borisov
URL:https://pretalx.com/juliacon2024/talk/MVFTEK/
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