I am a currently a Senior Staff Scientist at Dolby Laboratories in the Advanced Technology Group and an Affiliate Professor in the Electrical and Computer Engineering Department at the University of Washington.
After completing my undergraduate and master studies in Biomedical Engineering at Politecnico di Milano in 2007 and 2009 respectively, I started a PhD in Bioengineering at the same institution.
I joined MIT as a visiting PhD student in 2011, after winning the Progetto Rocca Fellowship. I worked with Prof. Thomas Heldt and Prof. George Verghese in the Research Laboratory of Electronics’s Computational Physiology and Clinical Inference Group (CPCI).
After defending my PhD, I joined the Integrative Neuromonitoring and Critical Care Informatics Group (INCCI) at MIT as a Postdoctoral Associate. In 2014 I explored the entrepreneurship side of my academic research, winning a Translational Fellowship at the Research Laboratory of Electronics.
In 2017 I became a Research Scientist at the Institute of Medical Engineering and Science at MIT. I was also affiliated with Boston Children’s Hospital and Boston Medical Center as Research staff.
Between 2016 and 2018 I was the President of MITaly, the Italian association of students and researchers at MIT. In 2017 I co-founded NISA, the New England Italian Student association, to create a network for all Italian students and researchers in New England. The NISA includes representatives from MIT, Harvard University, Boston University, and Northeastern University, with close collaboration with the Italian Consulate in Boston.
In 2018 I joined Dolby Laboratories as Senior Staff Scientist, leading exploratory research on sensing and wearable technologies for immersive entertainment experiences. I am also leading the research on the multi-modal analytics for the Dolby.io developer platform.
In 2021 I became an Affiliate Professor in the Electrical and Computer Engineering Department at the University of Washington, while keeping my full-time Dolby appointment.
My interests lie in wearable device development, biomedical signal processing, physiological modeling, image processing, machine learning, and deep learning. My main effort during my academic career was focused on the development of a shirt for fetal monitoring during pregnancy, and a device for the noninvasive measurement of intracranial pressure. I am now exploring how wearable devices and physiological sensing can be used to improve audio and visual entertainment.