Ph.D. in Theoretical Physics with expertise in String Theory, Mathematical Physics, and Data Science
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Ph.D. in Theoretical Physics with 29 publications in international peer-reviewed scientific journals and solid research experience in international environments. My scientific activity has focused on String Theory and Mathematical Physics, fields requiring strong mathematical rigor, abstract analytical skills, and a systematic approach to solving complex problems. I have also applied stochastic simulation methods, including Markov Chain Monte Carlo (MCMC), in several papers.
I primarily program in Python, Mathematica, and C++, using code as a tool to support and validate theoretical analysis. I am strongly oriented toward problem solving and critical thinking, with experience presenting and discussing results in international contexts and collaborating within research teams. I have a strong interest in Data Science and Machine Learning.
Postdoctoral Researcher - International research centers and universities - Germany, Italy
(2017-01)
Research activity carried out at internationally recognized institutions: Humboldt-Universität zu Berlin (Germany), University of Turin (Italy), INFN – Istituto Nazionale di Fisica Nucleare Turin Section (Italy), DESY – Deutsches Elektronen-Synchrotron (Germany).
Ph.D. - Theoretical Physics - University of Oviedo (2013-09 - 2017-06)
M.Sc. - Theoretical Physics - University of Milano-Bicocca (2010-09 - 2013-06)
B.Sc. - Physics - University of Milano-Bicocca (2007-09 - 2010-06)
