Lorenzo Zanisi is a Lead Data Scientist with eight years’ experience applying machine learning to high-impact scientific and medical problems, currently accelerating fusion research at the UK Atomic Energy Authority. Trained as an astrophysicist with a PhD from the University of Southampton, he combines rigorous physics modelling and generative ML expertise—skills honed through international research visits and competitive programs such as the Kavli Summer Program. His background includes award-winning applied work in healthcare (Silver at STEM for Britain) and contributions to explainable AI for cancer detection at The Alan Turing Institute. Lorenzo pairs strong programming and analytical capabilities with leadership and communication strengths, making complex models actionable for multidisciplinary teams. An uncommon detail: alongside his scientific career he holds a clarinet diploma, reflecting a disciplined creative side that complements his technical problem‑solving.
8 years of coding experience
6 years of employment as a software developer
Conservatory of Music "A. Casella"
Universidad de La Laguna
University College London
Master's degree, Astronomy and Astrophysics, 110/110, magna cum laude, Master's degree, Astronomy and Astrophysics, 110/110, magna cum laude at Sapienza Università di Roma
Doctor of Philosophy - PhD, Astronomy and Astrophysics, Doctor of Philosophy - PhD, Astronomy and Astrophysics at University of Southampton
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