Martina Contisciani

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Martina Contisciani

Martina Contisciani

@mcontisc

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

Vienna, Austria Katılım Eylül 2020
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Martina Contisciani
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: github.com/MPI-IS/probinet

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Tiago Peixoto
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: skewed.de/lab/call.html 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. skewed.de/lab/call.html Deadline is 30 Nov 2024. 1/8

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Tiago Peixoto
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. skewed.de/lab/call.html Deadline is 30 Nov 2024. 1/8
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Tiago Peixoto
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 (it-u.at)! IT:U is a brand new public university in Linz, Austria 🇦🇹, that focuses on interdisciplinarity. 1/3
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Martina Contisciani
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.
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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.
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Mihaly Hanics
Mihaly Hanics@HanicsResearch·
@mcontisc Sounds very interesting, have never read about generative models on network inference! Is a preprint available somewhere?
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Martina Contisciani
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. 🎓
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Martina Contisciani@mcontisc·
@astoica73 Thanks a lot Ana ☺️ Please let me know if you come. I would be happy to meet you there 😀
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Ana Stoica
Ana Stoica@astoica73·
@mcontisc Congratulations, Martina!! I will likely visit Vienna in July, would love to hear what you've been up to!
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Pablo Moreno-Muñoz
Pablo Moreno-Muñoz@pablorenoz·
@mcontisc Congratulations Martina! 🌝👏🏻👏🏻👏🏻 and glad to hear the great news on your future adventure in Vienna!
Lyngby-Taarbæk, Danmark 🇩🇰 English
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Martina Contisciani
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)!
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Martina Contisciani
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.
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