A computer scientist specializing in multimodal foundation models for scientific discovery at IBM Research Europe. She earned her PhD in Computer Science from the University of Geneva in 2021, where her research focused on developing methods to produce interpretable outputs from deep learning approaches without compromising performance.
Her academic journey includes a visiting research position at the Martinos Center at Harvard Medical School, where she explored interactions between clinicians and deep learning systems, and a Master of Philosophy in Machine Learning, Speech and Language from the University of Cambridge.
With undergraduate roots in Information and Communication Technology Engineering from Sapienza University of Rome, where she researched EMG signals for non-invasive hand prosthetics, she brings a multidisciplinary perspective to her work. Fluent in English, French, and Italian (native), she bridges international research communities in her pursuit of more interpretable and effective AI systems for scientific applications.
A computer scientist specializing in multimodal foundation models for scientific discovery at IBM Research Europe. She earned her PhD in Computer Science from the University of Geneva in 2021, where her research focused on developing methods to produce interpretable outputs from deep learning approaches without compromising performance.
Her academic journey includes a visiting research position at the Martinos Center at Harvard Medical School, where she explored interactions between clinicians and deep learning systems, and a Master of Philosophy in Machine Learning, Speech and Language from the University of Cambridge.
With undergraduate roots in Information and Communication Technology Engineering from Sapienza University of Rome, where she researched EMG signals for non-invasive hand prosthetics, she brings a multidisciplinary perspective to her work. Fluent in English, French, and Italian (native), she bridges international research communities in her pursuit of more interpretable and effective AI systems for scientific applications.
A computer scientist specializing in multimodal foundation models for scientific discovery at IBM Research Europe. She earned her PhD in Computer Science from the University of Geneva in 2021, where her research focused on developing methods to produce interpretable outputs from deep learning approaches without compromising performance.
Her academic journey includes a visiting research position at the Martinos Center at Harvard Medical School, where she explored interactions between clinicians and deep learning systems, and a Master of Philosophy in Machine Learning, Speech and Language from the University of Cambridge.
With undergraduate roots in Information and Communication Technology Engineering from Sapienza University of Rome, where she researched EMG signals for non-invasive hand prosthetics, she brings a multidisciplinary perspective to her work. Fluent in English, French, and Italian (native), she bridges international research communities in her pursuit of more interpretable and effective AI systems for scientific applications.
