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Posts by Román Zapién-Campos

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Self-Assembly Gets Automated in Reverse of ‘Game of Life’ | Quanta Magazine In cellular automata, simple rules create elaborate structures. Now researchers can start with the structures and reverse-engineer the rules.

The cells of your body follow simple rules and play off one another to form a complete organism. The researcher Alexander Mordvintsev has developed “neural cellular automata,” building blocks that can self-assemble into any form. @georgemusser.com reports: www.quantamagazine.org/self-assembl...

7 months ago 43 21 1 3
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Leaving Academia: Insights from Evolutionary Biologists on Their Career Transitions and Job Satisfaction Many who have obtained PhDs in evolutionary biology will ultimately pursue careers that fall outside a narrow definition of an academic career. At the same time, PhD students and supervisors of PhD st...

“Overall, the message from this survey is positive; evolutionary biologists are readily employable outside of academia, generally well-prepared for those jobs, and report high levels of satisfaction” www.biorxiv.org/content/10.1...

7 months ago 41 19 0 1

Willing to join us @pasteur.fr for a PhD for a project on how interactions between mobile genetic elements shape bacterial adaptation? Subject to be tailored to candidates with keen interest in evolution, genomics, computational biology, microbiology. Check www.pasteur.fr/en/education...

7 months ago 45 57 0 0
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GitHub - romanzapien/enzimath Contribute to romanzapien/enzimath development by creating an account on GitHub.

Pueden encontrar el contenido teórico (en español) en GitHub (github.com/romanzapien/...) donde abordamos reacciones químicas ✨, matemáticas 🔢, programación (Julia) 👩🏽‍💻 y análisis de datos 📈. El código es interactivo y puede usarse desde cualquier dispositivo, así que no duden en compartirlo 😊 🙌 (2/2)

8 months ago 0 0 0 0
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Este Julio tuve el privilegio de organizar el club "Enzymath: Entendiendo a las Enzimas entre Genes y Ecuaciones" 🧪👨🏻‍🔬🧑🏼‍🏫 para Clubes de Ciencia México 🇲🇽. Fue una bonita experiencia de la que me llevo muchas alegrías y que espero repetir pronto. (1/2)

8 months ago 0 0 1 0
PNAS Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...

Based on the recent data published in PNAS,
www.pnas.org/doi/abs/10.1...

8 months ago 0 0 0 0
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Fighting coordinated publication fraud is like ‘emptying an overflowing bathtub with a spoon,’ study coauthor says The observed and forecasted growth rate of paper mill papers outpaces corrective measures, a new study finds. R. Richardson et al./PNAS 2025 Systematic research fraud has outpaced corrective measur…

Fighting coordinated publication fraud is like ‘emptying an overflowing bathtub with a spoon,’ study coauthor says retractionwatch.com/2025/08/04/f...

8 months ago 0 0 1 0
HFSP project — dal bello lab

📢 We're seeking a postdoc to work on a project funded by HFSP @hfspo.bsky.social at the intersection of bacterial physiology, ecology and evolution. You can find more details about the project, the position, and how to apply here www.dalbellolab.com/hfsp-project! #bacteria #ecosky #MevoSky #microSky

8 months ago 41 45 1 1
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Behold one of the mightiest tools in mathematics: the camel principle.

I am dead serious. Deep down, this tiny rule is the cog in many methods. Ones that you use every day.

Here is what it is, how it works, and why it is essential.

9 months ago 2 2 1 0
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A NASA Astronaut on ISS caught this sprite over Mexico and the U.S. this morning.

9 months ago 5458 818 143 89

Many such cases - be on guard against DoPRA (science is complex, but let's not fool ourselves that pre-pub peer review functions in these situations; need a year of post-pub to read these things)

9 months ago 21 2 1 0
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Mathematical models of biological adaptation in fluctuating environments at University of Melbourne on FindAPhD.com PhD Project - Mathematical models of biological adaptation in fluctuating environments at University of Melbourne, listed on FindAPhD.com

Interested (or know anyone interested!) in pursuing a PhD in applied mathematics? Come and join us at Melbourne! A/Prof Doug Brumley and I are advertising a maths + biology project looking at adaptation of bacteria. Find out more 👉 www.findaphd.com/phds/project...

10 months ago 8 8 0 0
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Approximate Solutions of a General Stochastic Velocity-Jump Model Subject to Discrete-Time Noisy Observations - Bulletin of Mathematical Biology Advances in experimental techniques allow the collection of high-resolution spatio-temporal data that track individual motile entities over time. These tracking data motivate the use of mathematical m...

Here is a recent #BulletinMathBio paper by Arianna Ceccarelli, @apbrowning.bsky.social, and @profruthbaker.bsky.social Approximate Solutions of a General Stochastic Velocity-Jump Model Subject to Discrete-Time Noisy Observations.

link.springer.com/article/10.1...
🧪

11 months ago 11 3 0 0

1/n 🧵 Excited to share our new paper! We developed a framework to reveal hidden simplicity in how organisms adapt to different environments, particularly focusing on antibiotic resistance evolution. #EvolutionaryBiology #MachineLearning

11 months ago 38 22 1 2


    In the era of AI, neural networks have become increasingly popular for modeling, inference, and prediction, largely due to their potential for universal approximation. With the proliferation of such deep learning models, a question arises: are leaner statistical methods still relevant? To shed insight on this question, we employ the mechanistic nonlinear ordinary differential equation (ODE) inverse problem as a testbed, using physics-informed neural network (PINN) as a representative of the deep learning paradigm and manifold-constrained Gaussian process inference (MAGI) as a representative of statistically principled methods. Through case studies involving the SEIR model from epidemiology and the Lorenz model from chaotic dynamics, we demonstrate that statistical methods are far from obsolete, especially when working with sparse and noisy observations. On tasks such as parameter inference and trajectory reconstruction, statistically principled methods consistently achieve lower bias and variance, while using far fewer parameters and requiring less hyperparameter tuning. Statistical methods can also decisively outperform deep learning models on out-of-sample future prediction, where the absence of relevant data often leads overparameterized models astray. Additionally, we find that statistically principled approaches are more robust to accumulation of numerical imprecision and can represent the underlying system more faithful to the true governing ODEs.

In the era of AI, neural networks have become increasingly popular for modeling, inference, and prediction, largely due to their potential for universal approximation. With the proliferation of such deep learning models, a question arises: are leaner statistical methods still relevant? To shed insight on this question, we employ the mechanistic nonlinear ordinary differential equation (ODE) inverse problem as a testbed, using physics-informed neural network (PINN) as a representative of the deep learning paradigm and manifold-constrained Gaussian process inference (MAGI) as a representative of statistically principled methods. Through case studies involving the SEIR model from epidemiology and the Lorenz model from chaotic dynamics, we demonstrate that statistical methods are far from obsolete, especially when working with sparse and noisy observations. On tasks such as parameter inference and trajectory reconstruction, statistically principled methods consistently achieve lower bias and variance, while using far fewer parameters and requiring less hyperparameter tuning. Statistical methods can also decisively outperform deep learning models on out-of-sample future prediction, where the absence of relevant data often leads overparameterized models astray. Additionally, we find that statistically principled approaches are more robust to accumulation of numerical imprecision and can represent the underlying system more faithful to the true governing ODEs.

Neat looking paper: "Are Statistical Methods Obsolete in the Era of Deep Learning?" The answer seems to be "no," at least in the case where there's a mathematical structure to the model.

arxiv.org/abs/2505.21723

10 months ago 20 5 6 1
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7 PhD positions in Translational Evolutionary Research available @uni-kiel.de
Application deadline is March 27, 2025
Please spread the word!
www.kec.uni-kiel.de/news_events/...

1 year ago 8 10 0 5
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Partners in both life and research, the physicists Roger Guimerà and Marta Sales-Pardo recently developed a “machine scientist” algorithm that is proving to be a powerful tool for scientific discovery. (From the archive) buff.ly/0dgSvHG

1 year ago 20 6 0 2
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UCL – University College London UCL is consistently ranked as one of the top ten universities in the world (QS World University Rankings 2010-2022) and is No.2 in the UK for research power (Research Excellence Framework 2021).

Interested in a starting PI position at University College London to work on Genetics, Evolution or the Environment? My department has opened the call for expressions of interest for sponsorship of independent fellowship applications.

www.ucl.ac.uk/work-at-ucl/...

1 year ago 77 90 1 3
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Macroecological rules predict how biomass scales with species richness in nature Despite advances in theory and experiments, how biodiversity influences the structure and functioning of natural ecosystems remains debated. By applying new theory to data on 84,695 plant, animal, and...

New 🗒️led by Alex Pigot - Macroecological rules predict how biomass scales with species richness in nature -Standing biomass increases with richness when large-bodied spp are numerically rare but independent when spp size & abundance are uncoupled. @ucl.ac.uk - Science www.science.org/doi/10.1126/...

1 year ago 70 34 4 2
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Let's try this again... 7 is the LEAST "random" number.

When we asked Britons to think of a number from 1-10, 33% chose 7 - this isn't the first time this phenomenon has been observed

How Brits respond...
1: 2%
2: 4%
3: 7%
4: 9%
5: 8%
6: 14%
7: 33%
8: 14%
9: 6%
10: 4%

yougov.co.uk/society/arti...

1 year ago 41 7 8 5
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Current job offers

We offer 2 PhD Positions in Evolutionary Biology!

1️⃣ Evolutionary Developmental Biology – Craniofacial evolution. (March 31, 2025)

2️⃣ Evolution of Polygenic Traits – Genetic adaptation in Drosophila. (April 30, 2025)

More here: www.evolbio.mpg.de/1639156/Job_...

#PhD #EvoDevo #Genetics

1 year ago 7 12 0 1
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Academic mentees thrive in big groups, but survive in small groups - Nature Human Behaviour Using longitudinal genealogical data on mentor–mentee relations and their publications, the authors find that mentees trained in larger groups tend to exhibit superior academic performance compared wi...

Lower survival rate among trainees in labs with highly productive mentors raises important concerns about what we value in academia. Many interesting things to stew over with this paper!

www.nature.com/articles/s41...

1 year ago 142 70 4 5

I have been preparing a lecture on Parameter Inference for undergrad students 📊. The experience has been particularly fulfilling because I did not learned from a textbook 📖 but by doing 👨🏻‍💻. At the end, apart from teaching others, structuring knowledge in a lecture is a newly discovered joy for me 😄 🙌

1 year ago 2 0 0 0
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📆Join us next Tuesday for our online seminar: Hal Caswell (Woods Hole) will present on:

⭐The formal demography of kinship: Demographic stochasticity in the kinship network⭐

Free for all to join!
Zoom Link: iite.info/seminar/
Global Times: www.timeanddate.com/worldclock/f...

NB Euro time shift!

1 year ago 14 9 1 0
PNAS Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...

I’m thrilled to share my first ever publication, now published in PNAS! www.pnas.org/doi/10.1073/...

With mentorship from the amazing @ksxue.bsky.social, I looked at how the outcomes of species introductions to microbial communities are influenced by the number of introduced microbes.

1 year ago 89 31 1 1
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Data-driven model discovery and model selection for noisy biological systems Biological systems exhibit complex dynamics that differential equations can often adeptly represent. Ordinary differential equation models are widespread; until recently their construction has require...

"...applications of model discovery in biology are among the most exciting, precipitated by the astounding quantities of biological data and the extent to which we do not know the structure of most biological networks; there is a lot to learn." #SingleCell #MLsky

journals.plos.org/ploscompbiol...

1 year ago 10 1 0 0
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Lawful good: Bayesian models
Neutral good: Social network analysis
Chaotic good: Dynamical systems theory
Lawful neutral: Drift diffusion
True neutral: Information theory
Chaotic neutral: Agent-based models
Lawful evil: Symbolic logic
Neutral evil: Neural networks
Chaotic evil: Quantum mechanics

Lawful good: Bayesian models Neutral good: Social network analysis Chaotic good: Dynamical systems theory Lawful neutral: Drift diffusion True neutral: Information theory Chaotic neutral: Agent-based models Lawful evil: Symbolic logic Neutral evil: Neural networks Chaotic evil: Quantum mechanics

I have a bunch of things I have to get done, so naturally I decided to procrastinate by making an alignment chart of mathematical models

2 years ago 228 77 17 9
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Genome duplication in a long-term multicellularity evolution experiment - Nature In the Multicellularity Long Term Evolution Experiment, diploid yeast evolve to be tetraploid under selection for larger multicellular size, revealing how whole-genome duplication can arise due to its...

1/46 Hey folks, we have a new paper out on the MuLTEE. Strap in and I’ll tell you the story of how this “little paper on polyploidy” turned into the most data rich paper our lab has produced, largely thanks to the leadership and work ethic of @kaitong25.bsky.social.

www.nature.com/articles/s41...

1 year ago 368 166 16 19
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It's our birthday! 🎂 The Royal Institution was founded on this day in 1799 for "the teaching by courses of Philosophical Lectures and Experiments, the application of Science to the Common Purposes of Life".

In this 1985 video, George Porter shows us Faraday's lab, which you can still visit today

1 year ago 56 22 3 2
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Understanding and predicting microbial evolutionary dynamics - 2025 meeting

I'm delighted to announce that the 2025 @microbiologysociety.org meeting on "Understanding and predicting microbial evolutionary dynamics" will be held in Liverpool 26-27 November 2025! Abstract submission will open soon... #microsky 🧪🧫🦠 microbiologysociety.org/event/societ...

1 year ago 162 92 3 3