About me


I am a hybrid profile, somewhere between a software engineer, a scientist, and an entrepreneur. At heart, I am a builder who loves solving problems and making things work.

Right now, I am a research fellow at INAF, the Italian National Institute for Astrophysics, where I am working on novel approaches for data-intensive analysis, and a consultant for a number of companies on data analysis, machine learning and software development in general.

Previously, I co-founded a startup focused on infrastructural and environmental monitoring, I have been a cohort member of Entrepreneur First London, the head of data at an energy intelligence company, and a CERN fellow.

Side activities include giving lectures and talks on software development and best practices, finalizing my PhD thesis, and working on some open source projects mainly in the time series and IoT space.

You can follow me on Twitter , GitHub or connect with me on LinkedIn !

Projects

Rosetta

Rosetta is a science platform for resource-intensive, interactive data analysis where user tasks are run as software containers. It can integrate with several computing resources from simple single-node setups to large HPC clusters. [Rosetta@OATS] [Paper]

Timeseria

Timeseria is an object-oriented time series processing library. It provides modules for data cleaning, resampling and reconstruction, as well as forecasting and anomaly detection models.
[GitHub] [Quickstart Notebook]

Other projects include Pythings, an IoT cloud platform and device OS based on MicroPython; Propertime, an attempt at implementing proper time management in Python; and CarboBot, a little chatbot for providing food nutritional facts.

Materials

Lectures, talks, blog posts, and more.