Assistant Professor at University of São Paulo. Working on network theory, nonlinear dynamics and statistical physics.
Joined July 2009
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New work with Tuan Minh Pham (@physicsidea) and Fernando Metz (@FernandoL2006)!
"Effects of clustering heterogeneity on the spectral density of sparse networks"
arxiv.org/abs/2404.08152
Thomas Peron retweeted
XI WPSM – Workshop on Probabilistic and Statistical Methods. 25–27 Feb 2026 @ufscaroficial – São Carlos/SP
🔹 7 plenary talks
🔹 2 mini-conferences
🔹 Minicourse: Neural Nets with PyTorch
🔹 Special sessions on Complex Networks & Probability
🔗 wpsm.icmc.usp.br/
Thomas Peron retweeted
If you’re working in Network Dynamics and interested in Power Grids or Climate Science, I’d be happy to host you for a postdoc at Kadir Has University @khasedutr, Istanbul via the 2236-A CoCirculation3 call funded by @Tubitak & @HorizonEU MSCA-COFUND!
Details in next post!
Thomas Peron retweeted
Together with @notalbertalonso and Karel Proesmans, we show how irreversible a neural network is in terms of its dissipation rate and how optimal information processing at the edge of chaos is related to this robust energy expenditure iopscience.iop.org/article/1…
Thomas Peron retweeted
Now out: "A machine learning approach to predicting dynamical observables from network structure" (royalsocietypublishing.org/d…). Here we use ML techniques to predict dynamic outcomes of networked systems using their structural properties. Kudos to @FranciscoICMC @thomas_peron et al.
👇👇
Proud to share my work on DMFT for dynamical systems on complex networks, selected as an Editors'Suggestion in PRL! @CompSysSoc @ifufrgs
The paper presents a general solution for models of complex systems on sparse and directed networks. Check it out:
journals.aps.org/prl/abstrac…
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Thomas Peron retweeted
A generalized dynamical mean-field theory allows computation of the phase diagram of sparse and heterogeneous networks go.aps.org/3PT1Amw
Thomas Peron retweeted
🕮 New Book Release! 😀
Happy to share my new book, Machine Learning Beyond Point Predictions: Uncertainty Quantification.
Tools to tackle aleatoric & epistemic uncertainties in AI. +
Thomas Peron retweeted
"Statistical Laws in Complex Systems: Combining Mechanistic Models and Data Analysis", my 150p monograph written at @SydneyMaths and @mpi_pks is now published by @SpringerNature:
Electronic/print: link.springer.com/book/10.10…
ask me for e-copies or arxiv.org/abs/2407.19874
A thread:
Just out in @PhysRevE:
journals.aps.org/pre/abstrac…
Many thanks to coauthors @physicsidea and @FernandoL2006!
New work with Tuan Minh Pham (@physicsidea) and Fernando Metz (@FernandoL2006)!
"Effects of clustering heterogeneity on the spectral density of sparse networks"
arxiv.org/abs/2404.08152
Thomas Peron retweeted
We are releasing DOCES (Dynamical Opinion Clusters Exploration Suite), a new Python library for studying opinion dynamics. Designed to simulate social network interactions, it allows you to model different features of social networks. Check it out at pypi.org/project/doces/
Thomas Peron retweeted
Our paper doi.org/10.1088/1742-5468/ad… with 2 perspective: evolutionary biology, phenotypic robustness emerging from dynamic genotype-phenotype map; Hopfield-networks: the network tries to retrieve dynamic patterns that in turn shaped by the network structure in the previous iteration
Thomas Peron retweeted
#PhysCon2024 - The program and social events are now live at physcon2024.khas.edu.tr. Unforgettable scientific and social moments are on the way! It’s not too late to grab your spot! The basin of attraction is attached from our university museum! @khasedutr @nodds_lab
ALT physcon2024.khas.edu.tr
Thomas Peron retweeted
My first preprint as a solo-author is out and public on the ArXiV!! arxiv.org/abs/2407.02416 🥳
Here I develop a new method to deal with stochastic coupled oscillators, allowing one to easily obtain any fluctuations and finite-size effects, even analytically!
Thread! 🧵
Thomas Peron retweeted
Our review "Contagion dynamics on higher-order networks" is out in @NatRevPhys (rdcu.be/dMQiv). We review the literature on the topic and take the opportunity to propose a unified formalism covering most of the functional forms used for the spreading dynamics (1/2).
Thomas Peron retweeted
It was great to have dinner with my Brazilian friend in São Paulo this evening, learning all about life in Brazil and discussing future work together. Thank you @thomas_peron 🇧🇷
Thomas Peron retweeted
I'm excited to share my new paper on DMFT!
arxiv.org/abs/2406.06346
I derive an elegant solution for the dynamics of sparse and heterogeneous complex systems. Neural networks, epidemic spreading, Lotka-Volterra, all handled by a single equation! #ComplexSystems #NetworkScience
ALT Time evolution of the standard deviation of microscopic variables for Lotka-Volterra (LV), neural networks (NN) and epidemic spreading (SIS model) on directed networks with average degree c=5, Poisson and geometric distributed degrees, and random couplings (Gaussian and uniform). Solid line: DMFT. Symbols: simulations.
Thomas Peron retweeted
Dinner with friends during the Worshop on Complexity and Data Science, in São Carlos. With @cosnet_bifi , @thomas_peron and @GuiFdeArruda.
Thomas Peron retweeted
Don't miss the chance to meet an incredible lineup of keynote and lecture speakers in the heart of Istanbul! Submit your abstracts before the deadline: July 14, 2024. @nodds_lab @khasedutr Learn more: physcon2024.khas.edu.tr/ #PhysCon2024
We invite all friends and colleagues to join us at the 11th #PhysCon2024 amidst the stunning Bosphorus and Golden Horn in Istanbul's historic old town! 🏛️ Sept 9-12, 2024. Don't miss it! physcon2024.khas.edu.tr @nodds_lab @khasedutr #Dynamics #Control #Complexity #Networks