About
I am an Integrations Engineer at Esprit in Amsterdam, NL.
My daily meal is composed by Python, APIs and Azure services; in the breaks I eat Q#.
I obtained my two PhD degrees in Mathematics and Computer Science under the supervision of prof. Stefano Galatolo, Pisa University, and prof. Christophe Guyeux, Bourgogne Franche-Comté University. I completed my MSc degree in Mathematics at Pisa University.
My former research was on model prediction, focused on rigorous computation of statistical properties of random dynamical systems.
News
May 2023:
Pushed my firsts Q# algorithms.
May 2023:
Got certification in Digital Fashion Innovation Specialization, Coursera
Mar 2023:
Start working at Esprit as Integrations Engineer
Mar 2022:
Start working at Channable as Integrations Engineer
Nov 2021:
Start working at Randstad as Algorithm Developer (Python)
Nov 2021:
Google Data Analytics Professional Certification, Ask Questions to Make Data-Driven Decisions
Nov 2021:
Google Data Analytics Professional Certification, Foundations: Data, Data, Everywhere
Oct 2021:
New paper coming up: A posteriori validated numerical method for the computation of stationary measures based on Fourier approximation.
Awards
Honorary Fellow in Mathematical Analysis,
Math department, University of Pisa
International Ph.D Students Mobility, EIPHI-BFC,
UBFC/UFRJ
Bando Vinci 2019: aides a la mobilité pour theses en cotutelle,
Université Franco Italienne
Invited Talks and Conferences
Entropy and security of pseudorandom number generators based on chaotic iterations,
Secrypt 2019, Prague
Arnold’s map as a toy model for ENSO: a rigorous investigation,
Dynamical Systems and Beyond, Pisa 2019
A data-driven approach to transfer operators in nonlinear dynamics,
CMStatistic 2018, Pisa
On the collision property of chaotic iterations based post-treatments over cryptographic pseudorandom number generator,
Menacomm 2018, Beirut
Unfoldable self-avoiding walks,
SeqBio 2017, Lille