Marta Moscati

Linz, Upper Austria
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Summary

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Senior
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Top School
Marta Moscati is a computer scientist and applied scientist at Albatross AI with eight years of experience bridging physics, machine learning, and recommender systems. She holds a PhD in Elementary Particle Physics from KIT and transitioned from academic research to applied AI through focused nanodegrees in NLP, deep learning, and data engineering. Her work blends rigorous experimental thinking with practical ML engineering, particularly in recommender systems and language-focused models. Based in Linz, Austria, she brings a multidisciplinary perspective informed by a background in theoretical physics and hands-on data tooling. Marta is also an avid polymath—she pursues music, languages, and literature—which informs a nuanced approach to user-centric model design. Quietly thorough and curious, she excels at turning complex scientific problems into production-ready solutions.
code8 years of coding experience
bookLaurea Magistrale LM, Fisica, 110 e lode, Laurea Magistrale LM, Fisica, 110 e lode at Università degli Studi di Napoli 'Federico II'
bookNanodegree, Natural Language Processing, Nanodegree, Natural Language Processing at Udacity
bookDoctor of Philosophy - PhD, Elementary Particle Physics, Doctor of Philosophy - PhD, Elementary Particle Physics at Karlsruher Institut für Technologie (KIT)
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Github Skills (20)

pytorch10
recommendation-system10
collaborative-filtering10
knowledge-graph10
recommender-system10
recommender10
javascript9
machine-learning9
open-source9
ranking9
deep-learning9
matrix-factorization8
mms8
recommendation-engine8
react6

Programming languages (3)

HTMLJupyter NotebookPython

Github contributions (5)

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mbuccoli/tsoai-lullaby

Jul 2022 - Aug 2022

Contributions:50 commits, 2 PRs, 17 pushes in 1 month
mmosc/SBNet

Jul 2024 - Oct 2025

Official implementation of SBNet as described in "Single-branch Network for Multimodal Training".
Contributions:1 PR, 15 pushes, 3 branches in 1 year 3 months
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