Alberto Pessia

Postdoctoral researcher

University of Helsinki


I’m Alberto, a postdoc at the University of Helsinki. My current research focuses on statistical models for cancer combination drug therapies, but I also work on statistical population genomics and metabolomics data analysis.

I am mainly interested in statistical methodology and computational statistics. I love developing software and keep up to date with the latest technology.


  • Bayesian statistics
  • Computational statistics
  • Combination drug therapy
  • Metabolomics
  • Cluster analysis
  • Clinical trials


  • PhD in Statistics, 2017

    University of Helsinki

  • MSc in Statistics, 2011

    Sapienza University of Rome

  • BSc in Statistics, 2008

    Sapienza University of Rome




Julia package for fitting a simple birth-and-death process without migration.


R package for bi-clustering multivariate categorical data.


Julia package for bi-clustering multivariate categorical data.

Recent & Upcoming Talks

Numerical evaluation of the transition probability of the simple birth-and-death process

The simple birth-and-death process is a continuous-time Markov process that is commonly employed for describing changes over time of …

Bayesian bi-clustering of categorical data

Cluster analysis is a common statistical technique for partitioning the observed data into disjoint homogeneous groups. In the presence …