Università Cattolica del Sacro Cuore


I-Lamp Master Graduate award: Andrea De Poli and Guido Farinacci

Andrea De Poli graduated cum laude in Physics at Università Cattolica in Brescia with the theoretical thesis  “Nanotexture and Dynamics of the Mott insulator to metal transition in V2O3”, under the supervision of Prof. Claudio Giannetti (UCSC) and Prof. Michele Fabrizio (SISSA).
The thesis focused on the study of the photoinduced phase transitions in strongly correlated quantum materials, developing mathematical models, computationally solved, that explain experimental results obtained in lab. The topic has different possible technological applications, like the development of a new type of ultra fast microchips.
After the thesis, he obtained two different research scholarships at Università Cattolica and at SISSA (Trieste) to further study the topic and give origin to a paper currently under review by Nature Communications.
Since June 2021 he works as a Data Scientist for a consultant firm, analysing data for one of the 20 largest pharmaceutical companies in the world and working daily with teams based in the USA, India, China, France, Ireland, Puerto Rico.


I-Lamp early career award: Dr.Alberto Biella

Alberto Biella graduated in 2012 in Physics at UCSC with a master thesis titled “From Dicke to Anderson: Interplay of superradiance and disorder” with professor Fausto Borgonovi and Giuseppe Luca Celardo. The work was about the study of the effect of disorder in open quantum system displaying cooperative behaviours.
After that he collaborated for one year at UCSC as a researcher within the Quantum Biology group lead by prof Borgonovi on related subjects and with the team of prof Claudio Giannetti on d-wave superconductivity.
In 2013 he started my PhD Fisica della Materia Condensata at Scuola Normale Superiore di Pisa under the supervision of Prof. Rosario Fazio. There he mainly worked on many-body physics and out-of-equilibrium phenomena in open quantum systems. He discussed my thesis titled in “many-body physics in open quantum systems” in November 2016.
Next he moved to Paris where I started a 3-year postdoc at University of Paris (lab MPQ) working with Prof. Cristiano Ciuti (2016-2019). Then he moved to Collegè de France (Paris) in the team of Marco Schirò for one year (2020) and finally, for one year at the laboratory LPTMS in Orsay in the equipe of Leonardo Mazza (2021). Along this path he worked on different subjects related to open quantum systems, many-body physics and cooperative behaviours.
In 2019 he won the GENCI special prize (section Artificial Intelligence) at the Atos Joseph Fourier Award (together with Filippo Vicentini).
In June 2020 he was among the winners of the Italian national competition for CNR research staff for the strategic area “atoms, photons and molecules". In January 2022, he moved to Trento, as a permanent CNR researcher at the INO-CNR BEC center.


I-Lamp early career award: Dr. Angelo Ziletti

Angelo Ziletti is a Principal Data Scientist at Bayer Pharmaceuticals in Berlin, Germany.
He graduated in Physics from Universita’ Cattolica del Sacro Cuore in 2011, under the supervision of Fausto Borgonovi, with a thesis on theoretical and computational modelling of coherent quantum transport in nanostructures.
He then moved to the United States, where he received his PhD in computational physical chemistry from Boston University. During his PhD, he was also visiting researcher at National University of Singapore (Centre for Advanced 2D Materials, under the supervision of Prof. Antonio Castro Neto), University College Dublin (Ireland), and University of Freiburg (Germany).
Fascinated by the rise and potential of artificial intelligence (AI), Angelo joined the Max Planck Society where he later headed a research group on machine learning applied to physical systems at the nanoscale.
Angelo then decided to use AI to make an impact in the healthcare domain. Since joining Bayer in 2019, Angelo utilizes natural language processing, deep learning, and unsupervised learning to solve complex problems in healthcare. He led multiple data science projects from experimentation all the way to production. For example, he developed the AI algorithm behind the Bayer medical coding system, and the AI algorithm which currently analyzes all medical enquiries received by Bayer.
On a personal note, Angelo is a (sub 2h47m) marathon runner, coffee lover, aspiring wine sommelier, and happy father.