Davide Risso, Ph.D.

Associate Professor,
Department of Statistical Sciences,
University of Padova
Via C. Battisti, 241
35121 Padova, Italy

Research and Teaching Interests

My research focus is on the development, implementation and application of statistical models in high-throughput sequencing and other genomic data. Currently, my main focus is on single-cell RNA-seq.

I am interested in the statistical modeling of high-dimensional data, parametric and non-parametric regression, clustering, factor analysis and dimensionality reduction, multiple hypothesis testing, combining data from multiple sources (meta-analysis), exploratory data analysis and data visualization, reproducible research.

Background

I received my Ph.D. in Statistics in 2012 from the University of Padua, in Italy, under the supervision of Monica Chiogna (co-supervised by Sandrine Dudoit and Chiara Romualdi). I graduated in February 2012 with the Thesis “Simultaneous Inference for RNA-Seq data.”

I was a postdoctoral scholar at the Department of Statistics (2012 – 2014) and at the Division of Biostatistics (2014 – 2016) at the University of California, Berkeley. In the Fall of 2014 I was a Lecturer in the Division of Biostatistics, School of Public Health, University of California, Berkeley.

In February 2017 I joined the faculty of the Division of Biostatistics and Epidemiology of Weill Cornell Medicine as an Assistant Professor.

After being awarded a “Rita Levi Montalcini” fellowship, in 2018 I joined the Department of Statistical Sciences at the University of Padova as an Assistant Professor.

Since July 2021 I am an Associate Professor of Statistics in the Department of Statistical Sciences of the University of Padova.