Lorenzo Amabili

Open to research collaborations & freelance projects

About

Lorenzo Amabili

I'm Lorenzo Amabili, a data scientist at Buzzi SpA and researcher at the TU Wien, splitting my time between work and research. My work lives at the intersection of machine learning and visual communication: I build production ML pipelines by day and study how humans understand data by night.

This site collects what I make: visualisation work, research publications, personal experiments, and pictures from places I've wandered through. Most of it reflects a persistent fascination with the gap between raw data and human meaning, and the many ways to bridge it. My research interests are mostly around Visualisation Education and Visualisation Games, and so lately I'm quite focused on edutainment.

I'm open to research collaborations and visualisation projects. Feel free to reach out.

I am also one of the co-organisers of VisGames and a member of Mensa Italia, two communities quite important to me.

my CV. my academic CV. google scholar. linkedin. medium.

Data Science
I am a dedicated data scientist with an academic foundation and a deep focus on data visualisation

Over the years, I specialised in the entire data analysis lifecycle, from efficient data wrangling and management to advanced statistical modeling, ensuring the development of precise models and the delivery of actionable insights.

My problem-solving approach involves deconstructing complex challenges into structured, manageable steps, enabling effective analysis and solution-building.

Furthermore, I am particularly passionate about the intersection of machine learning and data visualisation, recognizing its power to both inform and inspire decision-making. This drives me to continuously explore cutting-edge techniques and leverage innovative, data-driven solutions to solve real-world problems.

Since October 2023, I work as a data scientist at Buzzi SpA where my main responsibility is to develop machine learning models based on real production and quality data from concrete and cement manufacturing processes, focusing on optimizing performance, enhancing product quality, and driving process improvements.

Before that, I worked as a data scientist/data consultant at Mosaic Factor, working on automotive and logistics projects, focusing on data preparation, data quality assessment, machine learning model development, and reporting.

Skills & tools

Python R SQL NumPy Pandas Scikit-Learn TensorFlow PyTorch LangChain Hugging Face Transformers MLflow Docker Tableau End-to-end ML Pipelines Feature Engineering Statistical Modeling Experiment Tracking Model Versioning Deployment Workflows CI/CD Integration Data Visualisation
view my CV.

Research
PhD researcher in Computer Science · Visualisation Education · Visualisation Games · Visualisation Literacy

Working as a PhD student in Computer Science at the University of Groningen led me to develop several skills, to meet fantastic people, and to work on several challenging projects.

My research interests are mostly around Visualisation Education, Visual Storytelling, and Human-Computer Interaction, data visualisation subfields in which the aim is attempting to close the gap between machine, data, and human, and to empower people enabling them to effectively exploit the data resources available.

Now, I working with the TU Wien visualisation group on a new PhD project focused on Visualisation Games, a new research area at the intersection of visualisation, education, and game design, which aims to explore how games can be used as effective tools for teaching and learning data visualisation concepts and skills.


my research work. my academic CV.

Scientific publications


Leveraging Popular Board Games to Teach Data visualisation. 2025. workshop paper

get it.


BoneStory: Visual Storytelling in 3D Virtual Surgical Planning for Bone Fracture Reduction. 2024. full paper

get it.


Show Me the GIFference! Using GIFs as Educational Tools. 2024. full paper

download it.


Cardiopulmonary ultrasound patterns of transient acute respiratory distress of the newborn: a retrospective pilot study. 2023. full paper

get it.


Lung ultrasound targeted recruitment (LUSTR): A novel protocol to optimize open lung ventilation in critically ill neonates. 2022. full paper

get it.


The importance of lung recruitability: A novel ultrasound pattern to guide lung recruitment in neonates. 2022. full paper

get it.



A Taxonomy-Driven Model for Designing Educational Games in Visualisation. 2021. full paper

download it.


Paper Maps: Improving the Readability of Scientific Papers via Concept Maps. 2021. workshop paper

download it.


Improving provenance data interaction for visual storytelling in medical imaging data exploration. 2018. short paper

download it.


Articles


From storytelling to scrollytelling: A short introduction and beyond. 2019. article

read it.



"Data-Driven Storytelling": A Short Review. 2019. article

read it.


Posters & presentations


Collective Visual Storytelling. 2018. poster

view it.


Visual Storytelling for Earth Sciences. 2018. poster

view it.


Visual Storytelling for Informed Decision-Making in Medicine. 2018. poster

download it.


Visual Storytelling of Big Imaging Data. 2017. poster

download it.


Thesis


Visualizing algorithms of nonlinear dimensionality reduction techniques. 2017. MSc thesis

see it. download it.


Projects & initiatives


VisGames, a community initiative around visualisation games. Co-organiser.

explore it.


Data Vis
This is some of my vis work

Solar vs Wind Energy

Data visualisation made for the TidyTuesday contest.
Made by using R (ggplot2) and Adobe Illustrator.


view it. see the code.

The NY Times Bestsellers

Data visualisation made for the TidyTuesday contest.
Made by using R (ggplot2) and Adobe Illustrator.


view it. see the code.

The Eurovision Voting

Data visualisation made for the TidyTuesday contest.
Made by using R (ggplot2) and Adobe Illustrator.


view it. see the code.

Learning about Women's Rugby

Data visualisation made for the TidyTuesday contest.
Made by using R (ggplot2) and Adobe Illustrator.


view it. see the code.

Analyzing Brands' Reputation

Data visualisation made for the TidyTuesday contest.
Made by using R (ggplot2) and Adobe Illustrator.


view it. see the code.

Other personal projects

📚
Aphorisms
Web app

A curated collection of my favorite aphorisms by thinkers, writers, scientists. Searchable and browsable.

explore it →
Audio Exhibition
Instagram · art project

Music as visual art, an experimental Instagram project pairing album artwork with sound. Started in 2017.

explore it →
🗺
Sagrapp
Web app

Discover local Italian food festivals (sagre) near you. Built to make regional food culture easier to explore.

explore it →

Contact

If you want to connect, feel free to reach out.