One year of work condensed here, but very happy with the outcome! (Good looking figures are a bonus😉) A thread on what we have done! @kclmathematics@CANES_CDT
Three new papers from #KCLDisSystResearch out on @arxiv! G. Torrisi @pepp_torr, A. Annibale and R. Kühn propose a new dynamic programming algorithm for random Boolean networks https://t.co/e1Orsh4JR4
Are you a mathematician / physicist / engineer and curious about how single-cell embryos self-organize into complex animals?
Then check out this PhD opportunity with @LinusSchumacher and myself.
Please RT :) @SMB_MathBiology@the_Node@TLM_Cambridge
https://t.co/HD8CmXjfHo
For those in London, today I give a seminar at King's College London for @CANES_CDT at 4 pm in room S3.32. Title of the talk: Gene regulatory networks: insights from statistical mechanics and network theory
@ecmtb2022@RGarciaTejera and these posters in Poster session 2 (Tue), DKFZ INF 280:
@danrtudor "Exploring the dynamics of efferocytosis in the Drosophila embryo using agent-based modelling"
@pepp_torr "Inferring gene regulatory networks from perturbation experiments"
3/3 @ecmtb2022#SMB2022
@aliceschwarze @chchang6 @imathematicians I would also include (selected on my personal taste) cellular automata, agent based models (which may not be defined on a graph), active matter, self-assembly materials
https://t.co/3pBDnEYRbZ
@adamlmaclean@LinusSchumacher@ivy_lxiong It has been a lot of fun meeting everyone in the group! Many thanks for hosting me and exposing to the great research of the group
P.S the food choice was bold, but quite successful
New preprint out!
``Uncovering the non-equilibrium stationary properties in sparse Boolean networks'' with Prof. Reimer Kühn and dr. Alessia Annibale from @KCLDisSyst and @CANES_CDT a thread🧵👇
https://t.co/aABhtlo7Nu
Those questions are relevant in the context of gene regulation. A major challenge is to build a modelling framework that links experimental data with gene regulatory network models. Our work provides the tools in that direction, but the story is just at the beginning.
Interested in applying for a #PhD in #Mathematics at King's College London?
Take a look at our step-by-step guide on how to apply 👇
https://t.co/a6xBxOWxq0
Tuesday morning I present our just accepted paper on the heterogeneous behaviour in Boolean networks at @Ccs2021L , joint me at the session 3.9. I m so excited to share my research in person 🤩
A fantastic joy for the Interdisciplinary group of scientists standing on Parisi's shoulders and a recognition of the progresses of the field. Parisi's legacy is immense
Giorgio Parisi – awarded this year’s #NobelPrize in Physics – discovered hidden patterns in disordered complex materials. His discoveries are among the most important contributions to the theory of complex systems.
On a personal note, this preprint has entirely been thought, conceived and written during the pandemic. Sometimes, it had represented my only sense of hope in the future during tough moments. I cannot thank my supervisors enough for their support.
One year of work condensed here, but very happy with the outcome! (Good looking figures are a bonus😉) A thread on what we have done! @kclmathematics@CANES_CDT
Three new papers from #KCLDisSystResearch out on @arxiv! G. Torrisi @pepp_torr, A. Annibale and R. Kühn propose a new dynamic programming algorithm for random Boolean networks https://t.co/e1Orsh4JR4
The preprint is available here: https://t.co/vdH4OtNp49
Code is also available on Github https://t.co/e2TcmNsrwY
using Python implementation (so far).
Enjoy the reading😊 (6\6)