Nicolò Pinciroli

Nicolò Pinciroli

(he/him)

PhD student in Information Technology

Polytechnic University of Milan

Professional Summary

I am a PhD student in Information Technology at Politecnico di Milano. My research focuses on machine learning and data science applications to astrophysics problems, particularly in the search for pulsars and the analysis of gravitational lenses. I have experience in AI, data analysis, and computer vision.

Education

PhD Computer Science

2022

Polytechnic University of Milan

MSc Physics

2023
2026

Linnaeus University

MSc Computer Science and Engineering

2019
2021

Polytechnic University of Milan

MSc Simulation and Visualization

2019
2021

Norwegian University of Science and Technology (NTNU)

BSc Computer Science and Engineering

2016
2019

Polytechnic University of Milan

Interests

AI for astrophysics Machine Learning Data Science Data Analysis Computer Vision Explainability
📚 My research
Please reach out to collaborate!
Featured publications
Extracting latent representations from X-ray spectra. Classification, regression, and accretion signatures of Chandra sources featured image

Extracting latent representations from X-ray spectra. Classification, regression, and accretion signatures of Chandra sources

The study of X-ray spectra is crucial to understanding the physical nature of astrophysical sources. Machine learning methods can extract compact and informative representations of …

avatar
Nicolò Pinciroli
An ultraviolet burst oscillation candidate from the low-mass X-ray binary EXO 0748–676 featured image

An ultraviolet burst oscillation candidate from the low-mass X-ray binary EXO 0748–676

X-ray burst oscillations are quasi-coherent periodic signals at frequencies close to the neutron star spin frequency. They are observed during thermonuclear Type I X-ray bursts …

arianna-miraval-zanon
The hunt for new pulsating ultraluminous X-ray sources: A clustering approach featured image

The hunt for new pulsating ultraluminous X-ray sources: A clustering approach

Context. The discovery of fast and variable coherent signals in a handful of ultraluminous X-ray sources (ULXs) points to the presence of super-Eddington accreting neutron stars, …

avatar
Nicolò Pinciroli
Multimodal multi-output ordinal regression for discovering gravitationally-lensed transients featured image

Multimodal multi-output ordinal regression for discovering gravitationally-lensed transients

Gravitational lenses are caused by massive astronomical objects that distort space-time, bending light. They can distort transient astrophysical events, such as supernovae (SN), …

avatar
Nicolò Pinciroli
Augmenting X-ray Astronomical Representations with Scientific Knowledge through Contrastive Learning featured image

Augmenting X-ray Astronomical Representations with Scientific Knowledge through Contrastive Learning

Astronomers have produced large multimodal datasets that include images, spectra, and time series, and that encode physical information about the observed objects. In addition, a …

juan-rafael-martinez-galarza
A new pulsating neutron star in the Ultraluminous X-ray source NGC 4559 X7? featured image

A new pulsating neutron star in the Ultraluminous X-ray source NGC 4559 X7?

Ultraluminous X-ray sources (ULX) are extragalactic objects with observed X-ray luminosities largely above the Eddington limit for a 10 M⊙ black hole. Currently, it is believed …

fabio-pintore
Beyond Accretion Limits: The Rise of Pulsating Gems featured image

Beyond Accretion Limits: The Rise of Pulsating Gems

The discovery of several ultraluminous X-ray sources exhibiting fast and rapidly evolving X-ray pulsations unequivocally associates these sources with accreting neutron stars …

gianluca-israel
The restless population of bright X-ray sources of NGC 3621 featured image

The restless population of bright X-ray sources of NGC 3621

We report on the multi-year evolution of the population of X-ray sources in the nuclear region of NGC 3621 based on Chandra, XMM-Newton, and Swift observations. Among these, two …

andrea-sacchi
DeepGraviLens: a multi-modal architecture for classifying gravitational lensing data featured image

DeepGraviLens: a multi-modal architecture for classifying gravitational lensing data

Gravitational lensing is the relativistic effect generated by massive bodies, which bend the space-time surrounding them. It is a deeply investigated topic in astrophysics and …

avatar
Nicolò Pinciroli
Proposals Generation for Weakly Supervised Object Detection in Artwork Images featured image

Proposals Generation for Weakly Supervised Object Detection in Artwork Images

Object Detection requires many precise annotations, which are available for natural images but not for many non-natural data sets such as artworks data sets. A solution is using …

federico-milani
Recent publications
Talks and posters
Invited talk at Workshop 'Optical GEMS in the Quickly Variable Sky' featured image

Invited talk at Workshop 'Optical GEMS in the Quickly Variable Sky'

Invited talk at the Workshop 'Optical GEMS in the Quickly Variable Sky'. See the [event page](https://indico.ict.inaf.it/event/3556/) for details

avatar
Nicolò Pinciroli
Invited talk at FRAPWS 2026 featured image

Invited talk at FRAPWS 2026

Invited talk at the FRAPWS 2026 conference in Mondello, Italy.

avatar
Nicolò Pinciroli
Artificial Intelligence and complex networks in multimodal X-ray astrophysics featured image

Artificial Intelligence and complex networks in multimodal X-ray astrophysics

Invited talk on the use of multimodal data in X-ray astrophysics.

avatar
Nicolò Pinciroli
Counting objects with multimodal multi-output ordinal regression featured image

Counting objects with multimodal multi-output ordinal regression

Talk on AI algorithms for gravitational lenses analysis.

avatar
Nicolò Pinciroli
eDGL: a multimodal neural network for the study of gravitational lenses featured image

eDGL: a multimodal neural network for the study of gravitational lenses

Talk on classification of gravitational lenses and gravitationally-lensed supernovae

avatar
Nicolò Pinciroli
eDGL: a multimodal neural network for the study of gravitational lenses featured image

eDGL: a multimodal neural network for the study of gravitational lenses

Poster on classification of gravitational lenses and gravitationally-lensed supernovae

avatar
Nicolò Pinciroli
Artificial Intelligence for Astrophysics featured image

Artificial Intelligence for Astrophysics

Talk on evolutionary algorithms for finding PULXs pulsations.

avatar
Nicolò Pinciroli