About me

I am currently leading the Probabilistic Learning Group in the Department of Empirical Inference at the Max Planck Institute for Intelligent Systems in Tübingen.

Prior to this I was a post-doctoral researcher at the University of Cambridge working with Zoubin Ghahramani, and previously, I was a Humboldt post-doctoral fellowship holder at Max Planck Institute for Software Systems, where I work with Manuel Gomez Rodriguez. I obtained my PhD in 2014 and my Master degree in 2012 from the University Carlos III in Madrid. During my PhD I worked under the supervision of Fernando Perez-Cruz.

Research interests

- Probabilistic modeling: Bayesian non-parametrics, continuous- and discrete-time models, latent variable models, deep generative models, etc.
- Bayesian inference: MCMC and variantional inference.
- Fairness and interpretability in Machine Learning.

Work opportunities

I am always looking for oustanding phd students and postdocs interested to work on developing novel and efficient machine learning methods for real-world problems!

To apply, send your application to Mara Cascianelli (mara.cascianelli@tuebingen.mpg.de).