Ph.D, Head of Machine Learning at Ignitia AB
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Università degli Studi di Verona
Doctor of Philosophy - PhD, Computer Science
January 1, 2015 – January 1, 2019
Università degli Studi di Verona
Master's degree, Computer Science and Engineering
January 1, 2012 – January 1, 2015
Università degli Studi di Verona
Bechelor's degree, Computer Science
January 1, 2009 – January 1, 2012
Ignitia
Head of Machine Learning
June 1, 2023 – Present
Ignitia
Machine Learning Scientist
August 1, 2021 – May 1, 2023
See Through S.r.l
R&D Imaging and Data Science
September 1, 2020 – July 1, 2021
Università degli Studi di Verona
Research Fellowship
October 1, 2018 – September 1, 2020
Università degli Studi di Verona
Teaching Assistant
October 1, 2017 – February 1, 2018
Delft University of Technology
Visiting PHD Student
March 1, 2017 – September 1, 2017
Università degli Studi di Verona
Teaching Assistant
October 1, 2016 – February 1, 2017
Università degli Studi di Verona
PHD Candidate
October 1, 2015 – May 1, 2019
Università degli Studi di Verona
Teaching Assistant
October 1, 2014 – June 1, 2015
Università degli Studi di Verona
Teaching Assistant
October 1, 2014 – June 1, 2015
Quantum Mechanics and Quantum Computation
edX
June 24, 2026 – Present
Deep Learning Specialization
Coursera Course Certificates
June 24, 2026 – Present
Sequence Models
Coursera Course Certificates
June 24, 2026 – Present
Convolutional Neural Networks
Coursera Course Certificates
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera Course Certificates
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera Course Certificates
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's academic and professional journey shows a strong focus on research and development, particularly in Machine Learning and environmental applications. The progression from Machine Learning Scientist to Head of Machine Learning at Ignitia demonstrates growth and leadership potential. The diverse roles, including research fellowships and teaching assistantships, indicate adaptability and a commitment to continuous learning. However, the project diversity is limited to academic and ML-focused roles, which might require further assessment for broader cultural fit in a general data analyst role.
Soft Skills & Operational Fit
The candidate's experience as a Head of Machine Learning and Teaching Assistant suggests leadership, mentorship, and communication skills. The detailed descriptions of ML model development indicate a structured and methodical approach to problem-solving. Collaboration with tech teams for model integration points to good teamwork and operational fit.