Francesco Lotito

@fralotito.bsky.social

Postdoctoral Researcher at the Central European University. Interested in panzerotti and complex networks.

Interested in network science, evolutionary biology, and animal behavior? I am seeking a PhD student to join the Quantitative Network Science group at the Department of Mathematical Modeling and Machine Learning of the University of Zurich. Info and application here: jobs.uzh.ch/job-vacancie...

UZH: PhD in Network Science: Modeling of Animal Networks

We are seeking a highly motivated PhD student to join our Quantitative Network Science research group at the Department of Mathematical Modeling and Machine Learning at the University of Zurich. Wild ...

jobs.uzh.ch

The JMLR LaTeX template enforces the use of {algorithm2e} to typeset algorithms, package I am not familiar with—my weapon of choice is {algorithmicx}—yet I'm starting to see the appeal. {algorithm2e} does provide you with more flexibility! For instance, the flexibility to wish you'd never been born

If you know people in Theoretical CS or adjacent who just joined BlueSky (or just did yourself), please tag them or say hi in this thread! #TCSSky (I'll follow them/you, let's strengthen our research community here)

In a brief 𝘕𝘢𝘵𝘶𝘳𝘦 𝘊𝘰𝘮𝘱𝘶𝘵𝘢𝘵𝘪𝘰𝘯𝘢𝘭 𝘚𝘤𝘪𝘦𝘯𝘤𝘦 piece, E. Valdano and I discuss recent progress in automated scientific discovery of governing laws for complex networked systems, where neural symbolic regression can extract interpretable laws from high-dimensional dynamics. www.nature.com/articles/s43...

Discovering the laws behind complex networked systems - Nature Computational Science

A recent study shows that neural symbolic regression offers a route to automated discovery of governing equations for network dynamics across high-dimensional complex systems.

nature.com

We’re excited to announce the line-up for our fall seminar series! We have three awesome speakers who will share their research and perspectives on the craft of science.

At NetPlace, we try to build spaces for junior researchers to come together to learn from each other and develop their craft. Our seminar series does just this, integrating the sharing of scientific knowledge and discussion about the process of science. We hope Ph.D. students from complex systems, network science, and interdisciplinary research in general will join us for a monthly talk and discussion.

Elena Candellone (Thursday, Oct. 2)
Louis Boucherie (Thursday, Nov. 6)
Haily Merritt (Thursday, Dec. 4)