Otho Mantegazza:

Research Scientist, Data Analyst.


PhD in plant molecular genetics, 8 years experience in data intensive fields both in academic and private sector.

Experienced R programmer. Strong knowledge of statistics and data analysis. Expert in data visualization, data reporting, data communication, data driven products.

Work Experience

Data Scientist

Milan, Italy

Sep 2019 - Nov 2022

  • Scientific support to the data visualization design teams.
  • Data intelligence, data driven reporting.
  • Development of internal tools in R, development of data workflow.
  • Privacy and GDPR compliance.
  • Development of data science classes for Feltrinelli Education.
  • Development of commercial offers for technical clients.


Institut de Recherche pour le Développement (IRD)
Montpellier, France

Jan 2018 - Dec 2018

Functional genomics of wild and cultivated rice species.

  • Development of an analytical and graphical pipeline for comparing transcriptomes of different rice strains and species.
  • Development of an R package for graph-based comparison of rice panicle topology.


CEPLAS/Heinrich Heine University
Dusseldorf, Germany

Apr 2015 - Nov 2017

Evolution and synthetic biology of C4 photosynthesis in plants.

  • Development of analytic and modeling pipelines for comparing transcriptomes of different plant species.
  • Analysis of proteomic data.
  • Development of gene editing experiments for engineering of photosynthetic pathways.
  • Setup of the Food Security area of competence in collaboration with the University of Cologne.

Visiting Scientist

North Carolina State University
Raleigh, NC, USA

Aug 2014 - Oct 2014

Fruit development.

PhD Candidate

University of Milan
Milan, Italy

Nov 2011 - Nov 2014

Flower development.

  • Analysis and modeling of transcriptomic data,
  • Development of protocols for Laser microdissection of plant tissues.
  • Development of gene editing protocols.

Museum Guide

Museo Nazionale della Scienza e Tecnologia
Milan, Italy

Feb 2010 - Oct 2011

While studying for my master degree, in the weekend I gave guided tours in sections about:

  • Air, land and water transports.
  • Submarine Enrico Toti

Teaching Experience

See section: Trainings.

Digital Skills

R / Python

Expert in programming for statistics and data science.

  • Tidyverse / Tidymodels for dataviz data wrangling and data modeling.
  • Literate programming in Rmarkdown, Jupyter, and Quarto.
  • R package development.
  • Continuous integration of end to end analytic workflows.
  • Basis of Pandas and Scikit-Learn.

Web development

Web development dedicated to communicating data and scientific results.

  • Reporting, publishing and dashboarding with Quarto.
  • Web native dataviz with D3 and Observable.
  • Basis of generic web development.


  • Open Access.
  • Git / Github.
  • Continuos Integration.
  • Docker.

Main Education

PhD in Biomolecular Sciences

Università degli Studi di Milano.
Department of Biosciences.
Milan, Italy.

Awarded in November 2014.

MSc in Molecular Biotechnology

Università degli Studi di Milano.
Department of Biosciences.
Milan, Italy.

Awarded in October 2011.

BSc in Industrial and Environmental Biotechnology

Università degli Studi di Milano.
Department of Biosciences.
Milan, Italy.

Awarded in October 2009.

Additional Education

  • Design Thinking - Protostart, Düsseldorf, September 2017
  • Data Mining - gene expression data evaluation - Heinrich Heine University, November 2016
  • How to successfully communicate your research - Cologne University, December 2015
  • How to lead and coach a PhD candidate - forschungszentrum jülich - December 2015
  • Advanced Statistics for the Life Sciences - EDX, September 2015
  • Introduction to Linear Models and Matrix Algebra - EDX, May 2015
  • Statistics and R for the life Sciences - EDX, May 2015
  • Getting and Cleaning Data - Coursera, August 2014
  • R programming Coursera, July 2014


Italian (native) - English C2 (fluent) - German A1 (beginner) - French A1 (beginner)

Peer Reviewed Publications

Links on Google Scholar.

Hahn, F., Eisenhut, M., Mantegazza, O., & Weber, A. P. (2018). Homology-directed repair of a defective glabrous gene in arabidopsis with Cas9-based gene targeting. Frontiers in Plant Science, 9, 424.

Mantegazza, O., Gregis, V., Chiara, M., Selva, C., Leo, G., Horner, D. S., & Kater, M. M.(2014). Gene coexpression patterns during early development of the native arabidopsis reproductive meristem: Novel candidate developmental regulators and patterns of functional redundancy. The Plant Journal, 79 (5), 861–877.

Lundquist, P. K., Mantegazza, O., Stefanski, A., Stühler, K., & Weber, A. P. (2017). Surveying the oligomeric state of arabidopsis thaliana chloroplasts. Molecular Plant, 10 (1), 197–211.

Hahn, F., Mantegazza, O., Greiner, A., Hegemann, P., Eisenhut, M., & Weber, A. P. (2017). An efficient visual screen for CRISPR/Cas9 activity in arabidopsis thaliana. Frontiers in Plant Science, 8, 39. 2/35.

Schuler, M. L., Mantegazza, O., & Weber, A. P. (2016). Engineering C4 photosynthesis into C3 chassis in the synthetic biology age. The Plant Journal, 87 (1), 51–65.

Mantegazza, O., Gregis, V., Mendes, M. A., Morandini, P., Alves-Ferreira, M., Patreze, C. M., Nardeli, S. M., Kater, M. M., & Colombo, L. (2014). Analysis of the arabidopsis REM gene family predicts functions during flower development. Annals of Botany, 114 (7), 1507–1515.

Hahn, F., Eisenhut, M., Mantegazza, O., & Weber, A. P. (2017). Generation of targeted knockout mutants in arabidopsis thaliana using CRISPR/Cas9. BIO-PROTOCOL, 7 (13).

Harrop, T. W., Mantegazza, O., Luong, A. M., Béthune, K., Lorieux, M., Jouannic, S., & Adam, H. (2019). A set of AP2-like genes is associated with inflorescence branching and architecture in domesticated rice. Journal of Experimental Botany, 70 (20), 5617–5629.