DPhil student @ Wolfson Centre for Mathematical Biology, Oxford and Hertford College. Opinions my own. He/him.
Joined August 2020
- Tweets 20
- Following 444
- Followers 124
- Likes 300
6 Photos and videos
Simon Martina-Perez retweeted
18 Aug 2023
My recent work (with co-authors @ruth_baker @PhilipMaini and Tommaso Lorenzi) studying the impact of volume-filling effects on the speed of cell invasion into extracellular matrix is now published in Studies in Applied Mathematics!
Read it here: onlinelibrary.wiley.com/doi/…
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Simon Martina-Perez retweeted
28 Jun 2023
Our work using diffusive properties to characterise new liquid crystal phases in DNA is out in APL Materials now - it also includes computationally efficient methods to calculate pairwise correlation functions.
pubs.aip.org/aip/apm/article…
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Simon Martina-Perez retweeted
23 Sep 2022
Today was our Mini-Symposium regarding the combination of machine learning and mechanistic modeling organized with Andreas Deutsch. Excellent talks by @CBigarre, @simonmape, Dimitris Goussis and Josue Manik Sedeno! Thanks a lot @ecmtb2022 organizers for the great conference!
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Simon Martina-Perez retweeted
29 Aug 2022
Very much enjoyed this 🌞summer school at @HCM_Bonn!
👩🏫Amazing lectures on stochastic models and inference; 👩🎓awesome contributed presentations; 🔧practical tool sessions; 🎇great discussions sparking up insights and coops; 👥inspiring panels; 🏃♀️fun hikes.
hsm.uni-bonn.de/events/hsm-s…
9 Jun 2022
🎒Summer school: 𝐈𝐧𝐯𝐞𝐫𝐬𝐞 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬 𝐟𝐨𝐫 𝐦𝐮𝐥𝐭𝐢-𝐬𝐜𝐚𝐥𝐞 𝐦𝐨𝐝𝐞𝐥𝐬
💬With: Linda Petzold, Christiane Fuchs, @dennisprangle, @StefanEngblom, @A_Hellander
⏰August 22-26
📌@HCM_Bonn
✏️Details register: hcm.uni-bonn.de/events/event…
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27 Oct 2021
Very pleased to share my first paper "Bayesian uncertainty quantification for data-driven equation learning" with @ruth_baker and @ProfMJSimpson!
bit.ly/30VOBdF
How do we combine noisy data with equation learning?A 🧵 (1/n)
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27 Oct 2021
By combining the data and PDE-FIND with Bayesian analysis, we open the door to inference in very large candidate to obtain a good model with rigorous uncertainty, while making computation feasible
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27 Oct 2021
A big thank you to @ruth_baker and @ProfMJSimpson for the great mentoring and collaboration :D
27 Oct 2021
Using three test cases (unbiased motion, biased motion, and proliferation), we see that sometimes the algorithm will pick up a correct model, and sometimes it won’t!
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27 Oct 2021
Thankfully, this uncertainty is only present in some parameters, meaning we are confident in at least a part of the model! Hence, we can use Bayesian methods to explore which other bits of the model should be included, and which not.
Simon Martina-Perez retweeted
24 Apr 2021
To thrive as a Graduate Student you need to learn how to pose questions. But you also need an environment that gives you the tools to do that.
And you could do without having to exercise in your study (cum bedroom)
Simon Martina Perez describes his 1st Year as a PhD @OxUniMaths
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