Astroparticle Physics PhD student @ GSSI, working on Gravitational Wave Astronomy.
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Assessing your cultural and operational fit
lgwa-response
June 5, 2025 – Present
A fast implementation of the response of the Lunar Gravitational Wave Antenna, in the time and frequency domains.
View ProjectET-ad-Assisi-2024-Scienza-e-Tecnologia
February 13, 2024 – February 28, 2024
Tutorial to use GWFish code
View Projectanomalies-visualization
January 29, 2024 – January 29, 2024
A simple visualization of the difference between mean anomaly, true anomaly, eccentric anomaly.
View ProjectXIII_ET_Symposium_Hackathon
April 26, 2023 – November 5, 2024
XIII_ET_Symposium_Hackathon — GitHub repository
View Projecteob-visualizer
November 30, 2022 – November 27, 2025
Ways to visualize EOB orbits in physical space
View Projectmlgw_bns
December 2, 2021 – Present
Accelerating gravitational wave template generation with machine learning.
View Projectinterferometry
October 11, 2018 – November 23, 2020
Resources and data analysis for GIMLI: an interferometer for the measurement of a liquid's refractive index. SGSS school, AY 2018-19.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on academic and personal research in astrophysics and computational physics. While this demonstrates strong analytical capabilities and a passion for data-driven problem-solving, the lack of diverse project types (e.g., industry applications, large-scale data engineering, machine learning deployment) and professional experience makes it difficult to fully assess cultural fit for a typical industry Data Scientist role. The projects align well with roles requiring deep scientific computing and modeling.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects are primarily personal and research-oriented, indicating potential for independent work and problem-solving, but lack evidence of team collaboration or project management in a professional setting.