Machine Learning Leader | PhD in Theoretical Physics | Turning AI Innovation into Products at Scale
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Machine learning leader focused on shipping real AI-based products. With a background in fundamental science, I bridge the gap between ML research, engineering, and user experience. I lead ML teams from experimentation to deployment, fostering ownership, strong collaboration, and clear communication.
Duke University, Department of Chemistry
Visiting Ph.D. Student
January 1, 2014 – Present
Technische Universität Berlin
Doctor of Philosophy (Ph.D.), Theoretical Physics
January 1, 2013 – January 1, 2016
Sapienza Università di Roma
Bachelor's degree, Physics
January 1, 2009 – Present
University of Maryland
Visiting Student
January 1, 2009 – Present
Sapienza Università di Roma
Master of Science (M.S.), Theoretical Physics - Statistical Mechanics
January 1, 2009 – January 1, 2012
Ermes Browser Security
AI and Data Lead
February 1, 2026 – Present
Turin, Piedmont, Italy
Sonos, Inc.
Senior Manager, Machine Learning
February 1, 2020 – August 1, 2025
Paris Area, France
Sonos, Inc.
Senior Machine Learning Scientist
November 1, 2019 – February 1, 2020
Paris Area, France
Snips
Senior Machine Learning Scientist
January 1, 2019 – November 1, 2019
Paris Area, France
Istituto Italiano di Tecnologia
Postdoctoral Researcher in Machine Learning and Automatic Speech Recognition
January 1, 2017 – December 1, 2018
Genoa Area, Italy
Cultural Fit Analysis
The candidate's career progression from a Postdoctoral Researcher to Senior ML Scientist, then to Senior Manager and AI/Data Lead, demonstrates ambition and a continuous drive for growth. The experience across different companies (Istituto Italiano di Tecnologia, Snips, Sonos, Ermes Browser Security) and diverse ML domains (speech tech, NLP, cybersecurity) indicates adaptability and a broad interest in applying ML. The leadership roles suggest a preference for high-ownership environments and building teams, which aligns well with innovative and fast-paced cultures. However, the lack of explicit project details or open-source contributions makes it difficult to fully assess diversity of work beyond professional roles.
Soft Skills & Operational Fit
The candidate's experience as an 'AI and Data Lead' and 'Senior Manager, Machine Learning' suggests strong leadership, team management, strategic planning, and cross-functional collaboration skills. The description of 'building the models, the infrastructure, and a culture of engineering excellence from the ground up' indicates a proactive and ownership-driven work attitude. The ability to manage budgets and mentor talent points to strong operational fit for senior roles.