Trainings
Data Visualization for Scientists
Year: 2023
Place: Universty of Milan, Italy; Heinrich Heine University, Duessledorf
Stack: R, Quarto, Javascript, D3
Project URL: Material and Slides
Source Code: Github
Place: Universty of Milan, Italy; Heinrich Heine University, Duessledorf
Stack: R, Quarto, Javascript, D3
Project URL: Material and Slides
Source Code: Github
Description: A workshops that spans three full days and covers: an introduction to R, the grammar of graphics, exploratory data analysis, data visualization design, reproducible reporting in quarto and a very introduction to web development with JS and D3
Data Visualization for Scientists in Python
Year: 2023
Place: University of Embu, Kenya
Stack: Python, Seaborn, Quarto
Project URL: Material and Slides
Source Code: Github
Place: University of Embu, Kenya
Stack: Python, Seaborn, Quarto
Project URL: Material and Slides
Source Code: Github
Description: A subset of the workshop above translate to python for a summer school and hackathon in computational biology
CBSER - Summer School
Year: 2022
Place: Mawazo Institute, Kenya; RWTH, Germany
Stack: R, Quarto
Project URL: Course Material
Source Code: Github - summer-school-2022
Place: Mawazo Institute, Kenya; RWTH, Germany
Stack: R, Quarto
Project URL: Course Material
Source Code: Github - summer-school-2022
Description: Invited trainer at the Summer School (2 weeks) in Computational Biology for Sustainable Environment. The school was aimed at 24 young scientist active in the field of ecological conservation. During the summer school I organized the classes data analysis in R and, and supported the classes on modelling in Python and a Hackathon on Sea Turtle bycatch data.
Intro to EDA in R - Workshop
Year: 2019
Place: Universty of Milan, Italy
Stack: R, Xaringan
Project URL: Material and Slides
Source Code: Github - EDA Class
Place: Universty of Milan, Italy
Stack: R, Xaringan
Project URL: Material and Slides
Source Code: Github - EDA Class
Description: Workshop (1.5 days) for Exploratory Data Analysis in R dedicated to the students from the Doctorate School in Biomolecular Sciences at the University of Milan.
Statistical Burger - Lunch
Year: 2020
Place: Accurat, Italy
Stack: R, Xaringan
Project URL: Slides
Source Code: Github - Statistical Burger
Place: Accurat, Italy
Stack: R, Xaringan
Project URL: Slides
Source Code: Github - Statistical Burger
Description: Learning Lunch at Accurat, Milan, introducing the basic concepts of statistical modeling, choosing a model, fitting and overfitting. A quick lunch talk dedicated to people from any background.
Make Science with Data - Workshop
Year: 2022
Place: University of Milan
Stack: R, Python, Quarto
Project URL: Workshop Website
Source Code: Github
Place: University of Milan
Stack: R, Python, Quarto
Project URL: Workshop Website
Source Code: Github
Description: A hands-on workshop (4 hours) welcoming first year students to the master in quantiative biology at the University of Milan. The workshop introduces students to two switches in mindset needed to start working on quantitative disciplines and to start using the command line interface.
Diventa Data Scientist - Online Class
Year: 2021
Place: Accurat Data School, Feltrinelli Education
Stack: Python, Pandas, Scikit-learn
Project URL: –
Source Code: –
Place: Accurat Data School, Feltrinelli Education
Stack: Python, Pandas, Scikit-learn
Project URL: –
Source Code: –
Description: A hands-on workshop (4 hours) welcoming first year students to the master in quantiative biology at the University of Milan. The workshop introduces students to two switches in mindset needed to start working on quantitative disciplines and to start using the command line interface.