Martina Contisciani

Postdoctoral Researcher @dnds_ceu. Previously, PhD @MPI_IS.
Interested in probabilistic generative models, statistical inference, and network science.

[Martina Contisciani @mcontisc]

🚀 Excited to share that ProbINet is now available! It is a Python package for network analysis that allows tasks like community detection, anomaly detection, and network generation. Finally, you can find some of our recent models and methods in a single comprehensive library!

[Diego Baptista @DABT93]

I'm happy to announce the first release of ProbINet 🐍 - a powerful Python package for probabilistic inference on networks! This is a joint work with Jean-Claude Passy, Caterina De Bacco, and @mcontisc.

💻 Get started now: https://t.co/rofwb0K93E

[Martina Contisciani @mcontisc]

🎊 Our paper "Flexible inference in heterogeneous and attributed multilayer networks" is now published @PNASNexus! Great collaboration with @MariusHobbhahn, @eleanorapower, @PhilippHennig5, and C. De Bacco.

📎 https://t.co/eWwE7c10S0
👩‍💻 https://t.co/CwQUmIZFp6

[KleinLab @KleinSLab]

🚨 Exciting news! 🚨

We’re now on LinkedIn! 🎉 Follow us at https://t.co/ypjGTzqsVh as we move our activity there.

Don’t forget to check our open positions and Master Thesis opportunities on our website: https://t.co/g5G0nXvm47.

Stay connected! 💼📚 #KleinLab

[Martina Contisciani @mcontisc]

Only three days left to apply for a post-doc position in our group, the Inverse Complexity Lab @invcomplexity, at IT:U in Linz, Austria. You will not regret it 🚀

[Tiago Peixoto @tiagopeixoto]

🚨Job alert!🚨

Come join us at the Inverse Complexity Lab! @invcomplexity

We’re hiring a post-doctoral researcher to join our group at IT:U, Linz, Austria.

https://t.co/iFBZKZryuD

Deadline is 30 Nov 2024.

1/8

[Tiago Peixoto @tiagopeixoto]

Reminder that we have a post-doc position open at the @invcomplexity lab, IT:U, Austria! 🇦🇹

This is a 3-year position, not tied to any particular project.

The application deadline is 30 Nov 2024.

For infos, see: https://t.co/9znWhutBcP

In case of questions, get in touch!

[Tiago Peixoto @tiagopeixoto]

🚨Job alert!🚨

Come join us at the Inverse Complexity Lab! @invcomplexity

We’re hiring a post-doctoral researcher to join our group at IT:U, Linz, Austria.

https://t.co/iFBZKZryuD

Deadline is 30 Nov 2024.

1/8

[Tiago Peixoto @tiagopeixoto]

I'm happy to announce that as of next week I'm taking up a new position as full professor at IT:U (https://t.co/Gkx8jvYnrm)!

IT:U is a brand new public university in Linz, Austria 🇦🇹, that focuses on interdisciplinarity. 1/3

[Martina Contisciani @mcontisc]

🗣️ I was happy to present our work yesterday @ISBA_events!

📌 I talked about a probabilistic model to estimate an unobserved adjacency matrix from multiply reported data.

🙏 A huge thanks to @SirioLegramanti for organizing a great session on Bayesian Analysis for Network Data.

[Martina Contisciani @mcontisc]

✨Excited to attend my first @ISBA_events conference, here in Venice!

📌 During the train journey, I also took the chance to redesign my personal website: https://t.co/b74K09r41A

[Martina Contisciani @mcontisc]

@vvsuschevskiy @MariusHobbhahn @eleanorapower @PhilippHennig5 Our model should work with such data. Nodes should have a categorical attribute specifying the type, i.e., either "human" or "robot", and for the robots the demographic characteristic should be set to zeros.

[Martina Contisciani @mcontisc]

📢 New preprint out: https://t.co/Y36y99hpOR
📌 We introduce a probabilistic generative model to perform inference in attributed multilayer networks, where both edges and attributes can have arbitrary data types
🙏 @MariusHobbhahn, @eleanorapower, @PhilippHennig5, and C. De Bacco

[Martina Contisciani @mcontisc]

@PiratePeel Thank you, Leto! I hope to have the chance to meet you again in the future :)

[Martina Contisciani @mcontisc]

@tiagopeixoto Thank you, Tiago! I am excited to start the next adventure in your group. 🎉

[Martina Contisciani @mcontisc]

@HanicsResearch The thesis will be published in the following months. However, it is a cumulative thesis where I discuss all the papers published during my PhD. You can find them on arxiv, on the online websites of the journals, and also have access to the code on my GitHub page.

[Martina Contisciani @mcontisc]

🎉 Last week, I successfully defended my PhD thesis “Probabilistic generative models for inference on complex systems”! It took me a while to realize that it's over, and I want to thank my advisor Caterina De Bacco for her constant support and for building a fantastic group. 🎓

[Martina Contisciani @mcontisc]

@danielj_redhead Thanks a lot Dan ☺️

[Martina Contisciani @mcontisc]

@astoica73 Thanks a lot Ana ☺️
Please let me know if you come. I would be happy to meet you there 😀

[Martina Contisciani @mcontisc]

@pablorenoz Thanks a lot Pablo ☺️

[Martina Contisciani @mcontisc]

⏭️ As a next step, I will soon start a postdoc position in Vienna, working with Prof. Tiago P. Peixoto in the Department of Network and Data Science at the Central European University (CEU)!

[Martina Contisciani @mcontisc]

🙏 I would also like to thank the examiners and reviewers Prof. Philipp Hennig, Prof. Ulrike von Luxburg, Prof. Anna Levina, and Prof. Leto Peel.

🤝 And I am also extremely grateful to all the wonderful people I have had the privilege of working with.