“By complete, random chance, we found some voxels that were significant that just happened to be in the fish’s brain” Bennett said. “And if I were a ridiculous researcher, I would say, ‘A dead salmon perceiving humans can tell their emotional state.’ “

Bennett, C. M. et al.



Angela Andreella

Assistant Professor at Ca’ Foscari University of Venice

Universiy of Padua

I am an Assistant Professor at the Department of Economics of the University Ca’ Foscari Venezia. I am analyzing and using big data to redefine the design of services to citizens and communities to customize and adapt interventions to the characteristics of the territories and communities of reference.

Previously, I did a Post-Doc at the Department of Statistical Sciences of the University of Padova under the supervision of Professor Bruno Scarpa and Livio Finos. We are studying Procrustes-based methods in the context of high-dimensional data’s functional alignment like fMRI, EEG, and genetic data. In particular, we are developing an extension of the famous perturbation model to improve interpretability, inferential proprieties, model flexibility, and optimization of the computational effort. We are also working on modeling big clinical data collaborating with Dr. Sabrina Brigadoi.

I also finished a Post-Doc at the Department of Science and Technology of the University of Insubria with the supervision of Professor Antonietta Mira. The project was focused on modeling the data from emergency call centers across the Lombardy region in Italy.

I finished my Ph.D. in Statistical Sciences under the supervision of Professor Livio Finos about statistical methods to analyze neuroscience data, e.g., fMRI data.

Mainly, my interest is to connect the clinical and statistical fields improving both areas. For that, I am a member of the Psicostat group at the University of Padova.

One Ph.D. thesis project was about a spatial regularization of the Procrustes-based method used in the functional alignment of brain data, i.e., the ProMises (Procrustes von Mises-Fisher) model. I am collaborating with Professor James Haxby from the Department of Psychological and Brain Sciences at Dartmouth College and with the Haxby Lab.

Another project of the Ph.D. thesis was about a permutation-based approach of the All Resolution Inference method under the supervision of Professor Jelle Goeman from the Department of Biomedical Data Sciences and Professor Wouter Weeda from the Department of Psychology at Leiden University. The method fixes the spatial specificity paradox, computing lower bounds for each cluster’s number of active voxels. The method can be applied as many times as the user want, still controlling the family-wise error rate.

I am also collaborating with Paolo Brambilla and Giuseppe Delvecchio on various psychiatrical and psychological projects.

Curriculum Vitae


  • Dimensional reduction techniques
  • High Dimensional Statistic
  • Multiple Testing and Selective Inference
  • Permutation test
  • Statistical Shape Analysis
  • Statistic applied in Neuroscience


  • PhD in Statistical Science, 2017

    University of Padua

  • MSc in Statistical Science, 2016

    University of Padua

  • BSc in Statistical Science, 2013

    University of Padua










Tutor, Psychometrics (30h)

University of Padova, Department of Developmental Psychology and Socialization

Mar 2022 – Aug 2022 Padova, Italy

Professor, Statistical Learning for Data Science course (10h)

Ca’Foscari University of Venice, Department of Economic

Oct 2021 – Dec 2021 Venice, Italy

Postdoctoral Researcher (full time)

University of Padova, Department of Statistical Sciences

May 2021 – Dec 2021 Padova, Italy

Professor, Experimental Design course (20h)

University of Padova, Department of Statistical Sciences

May 2021 – Sep 2021 Padova, Italy

Tutor, Psychometrics (30h)

University of Padova, Department of Developmental Psychology and Socialization

Mar 2021 – Aug 2021 Padova, Italy

Postdoctoral Researcher (full time)

Universita degli studi dell’Insubria, Department of Science and Technology

Nov 2020 – Apr 2021 Como, Italy

Tutor, Psychometrics (28h)

University of Padova, Department of Developmental Psychology and Socialization

Oct 2020 – Apr 2021 Padova, Italy

Visiting Ph.D. Student

Leiden University Medical Centre, Department of Biomedical Data Sciences

Apr 2019 – Jul 2019 Leiden, Netherlands

Visiting Ph.D. Student

Dartmouth College, Department of Psychological and Brain Sciences

Jan 2019 – Apr 2019 Hanover, NH, United States

Ph.D. student (full time)

University of Padova, Department of Statistical Sciences

Oct 2017 – Mar 2021 Padova, Italy

Data Analyst

Optima Italia spa

Jun 2016 – Jul 2017 Naples, Italy


Stazione Zoologica Anton Dohrn

Jan 2016 – Mar 2016 Naples, Italy


Workshop: Interactive visualisation with R Shiny

Stochastic calculus of variations and normal approximations

Value of information analysis in spatial model

Online Social Media Analytics

Recent Posts

Permutation Based Cluster Mass for EEG data

Short tutorial to perform cluster Mass for EEG data using permutation theory

Multidimensional scaling having fMRI data

Short tutorial about multidimensional scaling having fMRI data

Introduction to Python

Short tutorial on pandas, seaborn, matplotlib, sklearn and statsmodels packages

Start with Python

Short list Python information


Quickly discover relevant content by filtering publications.

Procrustes Analysis for High-Dimensional Data

The Procrustes-based perturbation model (Goodall in J R Stat Soc Ser B Methodol 53(2):285-321, 1991) allows minimization of the …

Functional alignment by the light approach of the von Mises-Fisher-Procrustes model

Procrustes-based methods involve the singular value decomposition of a square matrix, leading to polynomial time complexity, and …

Valid Double-Dipping via Permutation-Based Closed Testing

Functional Magnetic Resonance Imaging (fMRI) cluster analysis is widely popular for finding neural activation associated with some …

A Statistical Approach to the Alignment of fMRI Data

Multi-subject functional Magnetic Resonance Image studies are critical. The anatomical and functional structure varies across subjects, …

I’m part of Psicostat . We are an interdisciplinary research group interested in Psychology and Statistics working at the University of Padua.

For more information this is our page