Chancellor's Fellow (~Asst. Prof.) @EdinUniMaths | Math modelling for somatic genomics | https://xitter.cf/t.co/LfwTmmWzVR

Edinburgh, Scotland
Joined August 2015
Michael Nicholson retweeted
I have an opening for a postdoctoral research associate in my group at @EdinburghUni to develop new mathematical models of bursty gene expression and signal transduction and fit these to eukaryotic data. Deadline 24th March. jobs.ac.uk/job/DMA024/postdo…
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#PhD opportunity: fully funded PhD position at the University of Edinburgh on 'Modelling stochastic emergence of antibiotic resistance in bacterial populations' with @HelenKAlexander and myself. For more info on the project see here: biology.ed.ac.uk/alexander/j… or get in touch!
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New paper! Maximally dysregulating APC should provide the maximal selective advantage to colorectal cancer cells? Doesn't appear so. We quantify 'just-right' APC inactivation, at scale, in a variety of contexts, in our preprint: doi.org/10.1101/2024.07.10.6…
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Led by the brilliant @xellbrunet. Excellent collaboration with @group_tomlinson; Tibor Antal (@EdinUniMaths); @ISoriano_Moruno; @NathalieFeeley; @drthorn. Feedback would be most welcome.
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Happy to share that I'll be joining the School of Maths @EdinUniMaths as a Chancellor's fellow (~tenure track assistant prof). Will be continuing to apply probabilistic thinking to genomics. Very grateful for all support and encouragement I've received. Come say hi if in town!
20 outstanding early career researchers @ColSciEng have received @EdinburghUni prestigious Chancellor’s Fellowships and will begin a 5-year tenure track that invests in researchers delivering cutting-edge interdisciplinary research and innovation edin.ac/4bpV1QS
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Highly creative, elegant analysis providing deep insights on DNA damage induced mutagenesis. Please do give it a read. Congrats to @craigandersn, @odom_lab, @S_J_Aitken, @mst_paralogue. It was a privilege to contribute.
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Great PNAS commentary piece highlighting our recent work on DNA damage:transcription interactions pnas.org/doi/10.1073/pnas.24…
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Michael Nicholson retweeted
[t.ly/vYqW7] Cancer biomarker discovery is historically mutation-centric, often neglecting the key role of genomics instability. Recently, we asked ourselves how do mutations and copy number alterations (CNAs) determine prognosis and tropism? 😋😋1/n
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The observed 5' bias in repair efficiency is a consequence of polymerase not restarting, but this pattern wouldn't exist for lower damage burdens. High damage mutation patterns != linear amplification of low damage mutation patterns.
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This work has been a fantastic collaboration with Martin Taylor (@mst_paralogue ), Craig Anderson (@craigandersn ), Sarah Aitken (@S_J_Aitken ) and Duncan Odom (@odom_lab ). We'd welcome any comments or thoughts.
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