PhD in Psychology Neurology and Data Science
davide.gentilini@unipv.it
+39 0382987993

Gentilini Davide

Researcher

Biography

Born in 1978 Academic degree:

  • 2018 – National scientific qualification to function as Associate Professor in Medical Statistics
  • 2017 – National scientific qualification to function as Associate Professor in Medical Genetics
  • 2015 – PhD in Psychology, Health and Statistical Sciences – University of Pavia
  • 2012 – Master degree in Medical Statistics and Genomics – University of Pavia
  • 2010 – Postgraduate Specialization degree in Medical Genetics – University of Milan
  • 2008 – Degree in Biology – University of Milan

Present position:

2019-2020 – Type B fixed-term researcher (RTDB) – University of Pavia and Head of the Bioinformatic and Statistical Genomic Unit – IRCCS Istituto Auxologico Italiano

Previous positions:

  • 2017-2019 – Type A fixed-term researcher (RTDA) – University of Pavia
  • 2015-2020 – Head of the Bioinformatic and Statistical Genomic Unit – IRCCS Istituto Auxologico Italiano
  • 2006-2017 – Researcher and Geneticist – IRCCS Istituto Auxologico Italiano
  • 2005-2006 – Researcher – IRCCS Policlinico of Milan, Milan, Italy

Field of interest & Research Activity

Graduated in Biological Sciences I completed my training with a specialization in Medical Genetics at the University of Milan, then I got a second level master in Medical and Genomics Statistics and finally completed my degree with a PhD in Medical Statistics at the PhD School in Psychology, Neuroscience and Medical Statistics at the University of Pavia. For several years my scientific activity has focused mainly on Medical Statistics and in particular on genetic and genomic applications. The areas of interest mainly concern genomics in the field of multifactorial and complex diseases. I have gained good experience in association studies both at candidate and genome-wide level and applied my knowledge in different fields of medicine (gynecology, obesity, hypertension, amyotrophic lateral sclerosis, multiple sclerosis, Aging, etc.) I published my studies on discrete editorial editions (Nature Genetics, Plos Genetics, Aging Cell). I got a good and documented experience in Epigenetics and in the analysis of epigenetic microarray data. I developed an innovative analysis method that identifies rare and stochastic epigenetic mutations and allows to identify epigenetic alterations responsible for pathology at single sample level. Now I am interested in analyzing data from new generation sequencing technologies (NGS). To this end, I have refined my knowledge in bioinformatics and “big data” processing methods by creating tools for analysis and error control used also in the diagnostic field. In the field of research, interest is directed at the study of rare genetic variability and its role in determining the phenotype. The main purpose is to study genotype-phenotype correlation by using analysis models that consider whole genetic variability.  I consider the sharing of knowledge a personal mission and for this reason in the field of statistical analysis I personally created and developed a free web based platform to do statistical and graphical analysis of data. Each user can find a collection of more than 25 free web applications to do basic and high level statistical analyses. This platform is actually used by more than 20.000 users scattered in more than 190 countries around the world (https://www.glabstat.com/).

Open Projects

Courses