Professor in biomathematics at Chalmers. Author of Scientific Models https://xitter.cf/t.co/tmpTEaQSvq @SpringerMath
Joined May 2013
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I'm currently advertising a PhD-position in stochastic infectious disease modelling. The aim of the project is to build computational tools for surveillance and inference of transmission trees for healthcare associated infections.
chalmers.se/om-chalmers/arbe…
Philip Gerlee retweeted
Spatial cumulant models provide a mathematical framework in which to study cell populations with localised cell-cell interactions. We show how: doi.org/10.1007/s00285-023-0… With @Dagim26 @arvidagren @pgerlee @CancerConnector @finkelshtein
Philip Gerlee retweeted
Join us for the next @SwanseaBioMaths Centre Colloquium on Wed March 8th 3pm GMT with a talk by @pgerlee discussing ‘From single cells to tumours: bridging scales with individual-based models’
Zoom link via registration
@noemi_picco events.swansea.ac.uk/talk/in…
Philip Gerlee retweeted
Our department announces a tenure track position in a very important, but relatively new research direction.
Assistant Professor in Machine Learning, with specialization in societal impact
This is exciting for several reasons...
uu.se/en/about-uu/join-us/de…
Happy to announce that we will continue our efforts to evaluate the mathematical models used during the covid-19 pandemic in Sweden thanks to a grant from @Vetenskapsradet titled "Predicting an uncertain future: improving the utility of computational models during a pandemic"
The project will be carried out with @torbjornlundh @Henrikthoren1 @AnnaJoud Armin Spreco and Toomas Timpka. Stay tuned for detailed accounts on how models were used on a national, regional and local level with a special focus in how uncertainty was handled.
We are currently recruiting for a PhD-project on respiratory drug development which is a joint effort between AstraZeneca, Fraunhofer-Chalmers Centre, and the Mathematical Sciences at Chalmers. Deadline for applications is 8th January:
chalmers.se/sv/om-chalmers/A…
New preprint out where we show how spectral theory can help us understand Turing patterns on a sphere with a hole. Thanks to coauthors @JojoBorgqvist and Carl Lundholm for their efforts.
biorxiv.org/content/10.1101/…
Recently published work led by @LiuErnest on how to make use of hierarchical structures in order to quantify complexity.
#mdpientropy Read "Ladderpath Approach: How Tinkering and Reuse Increase Complexity and Information", from Yu Liu, et al. @LiuErnest
mdpi.com/1099-4300/24/8/1082
#complexity #syntacticinformation #Shannonentropy
Philip Gerlee retweeted
Johannes G. Borgqvist & Sam Palmer demonstrate the use of symmetries for model selection in the context of mechanistic modelling: ow.ly/CJ4E50KroZ3 @OxUniMaths #Interface
Philip Gerlee retweeted
Can we measure subclonal interactions in #cancer #evolution from experimental data? Distinguishing genuine interactions from confounders, eg. spatial effects (or wishful thinking!), is hard. New work on #glioma by @haidertari, in collaboration with @JonesLabICR and colleagues.
It's out! Our new paper on exploring the effects of subclonal interactions between diffuse midline glioma cells and their ability to spread using a computational and experimental framework we developed. @Ket_kess @AndreaSottoriva @ICR_London @CellReports
cell.com/cell-reports/fullte…
Philip Gerlee retweeted
New paper in the Journal of Genetics:
"Meiosis solved the problem of gerrymandering"
Fun and (quite a lot of) tongue-in-cheek with @WildlifeMcCoy and David Haig.
link.springer.com/article/10…
ALT Meiosis solved the problem of gerrymandering J. ARVID ÅGREN, DAVID HAIG & DAKOTA E. McCOY Journal of Genetics volume 101, Article number: 38 (2022) Abstract Gerrymandering, the structuring of voting districts to favour certain politicians and political groups, undermines fair elections and presents a serious challenge to democracy. We introduce a solution to gerrymandering inspired by the biological process of cell division in sexually reproducing organisms, meiosis, in which the boundaries of electorates are frequently redrawn by randomizing algorithms. By demonstrating the deep parallels between meiosis and John Rawls’s concept of a ‘veil of ignorance’, we also show how one of the biggest threats to the integrity of meiosis––selfish genetic elements, genes that promote their own transmission at the expense of organismal fitness––can inspire another potential advantage to frequent random redistricting.
Cool new method for model selection that exploits symmetries of ODE-models.
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Philip Gerlee retweeted
Spatial cumulant models enable spatially informed treatment strategies in theoretical cancer systems. And analysis of local cell-cell interactions⭐With @arvidagren @Dagim26 @CancerConnector @NykterLab @pgerlee @finkelshtein , PanuSomervuo, OtsoOvaskainen biorxiv.org/content/10.1101/…
Nästa måndag 16/5 står jag och Torbjörn Lundh som värdar för en diskussion om pandemimodeller på Världskulturmuseet. I panelen sitter Anders Tegnell (FoHM), Tom Britton (SU), Lisa Brouwers (FoHM) & Johan Anderberg, (journalist och författare).
facebook.com/events/53973559…
Philip Gerlee retweeted
Top 10 most downloaded article in the #BullMathBiol, March 2022:
Weak Selection and the Separation of Eco-evo Time Scales using Perturbation Analysis
by Philip Gerlee @pgerlee
Congrats to the author! 👏👏
🌎 link.springer.com/article/10…
Philip Gerlee retweeted
if you are a researcher in Sweden, please read the article down in the thread (there's a also a pdf translation)
Philip Gerlee retweeted
Latest Zelenskyy address from last night. It's powerful, and it should be devastating for some in West to hear. In it, he switches between Ukrainian and Russian to deliver a message in response to the war crimes in Bucha. What follows is graphic. Here are main points...
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My preprint on perturbation analysis and eco-evo dynamics is now out in in @SMB_MathBiology
Bulletin of Mathematical Biology. Special thanks to @kaznatcheev for commenting on early drafts of the paper.
link.springer.com/article/10…
