Statistical Computing Laboratory

Workshop: Sparse Inference for Complex Models, 26-27 June, 2023

On Monday and Tuesday 26-27 June, 2023, the Computational Statistics Laboratory is organizing a workshop on Sparse Inference for Complex Networks. Invited speakers are: 

  • Veronica Vinciotti
  • Francesco Stingo
  • Francisco Richter-Mendoza
  • Juan Gamella
  • Alice Polinelli
  • Philip Kennerberg
  • Yin Yuan Lo
  • Gabriele di Bona

Posters presentations are available. Submit title and abstract by 31/5/2023 to richtf@usi.ch. Further details about registration, venue etc can be found HERE. 

Research

The Statistical Computing Laboratory at USI is specialized in Network Data Science, particularly with applications in the Life Sciences and Ecology, but also with the help of collaborators in the field of the Social Sciences and Economics. The group is led by Ernst C. Wit and consists of 2 postdocs and 6 PhD students. Associate members of the Laboratory include Alessandro Lomi and Rampal Etienne. Ongoing projects involve:

  • Species diversification models (joint with Rampal Etienne and Francisco Richter)
  • Cell differentiation and gene therapy safety (joint with Clelia di Serio, Danilo Pellin, Marco Grzegorczyk, Luca del Core, Andrea Calabria and Eugenio Montini)
  • Statistical inference involving Covid-19 (joint with Antonietta Mira, Spyros Balafas, Simon Wood)
  • Extension of relational event models (Joint with Alessandro Lomi, Igor Artico, Francesca Bianchi, Edoardo Filippi-Mazzola, Ruta Juozaitiene)
  • Invasive species modelling (joint with Ruta Juozaitiene, Hanno Seebens, Franz Essl, Guillaume Latombe)
  • Random effect modelling of the SOAM (joint with Giacomo Ceoldo)
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