Enrico Migliorini

ESR4 – Fitting, machine learning and Cochlear Implants

Host: Cochlear Ltd.

MOSAICS Research
Adapting the fitting process of cochlear implants through the use of machine learning techniques, aiming to improve performance on recipients, reduce the work load on audiologists, and allow identification of performance barriers caused by suboptimal fitting.

About

Enrico comes from Florence, Italy. He developed a keen interest in neuroprosthetics in his teens after a family member received a cochlear implant. Since then, he’s been driven by a desire to push boundaries in human-computer integration. His interdisciplinary interest in brain interfaces is what led him to join the MOSAICS project.

Enrico holds a Bachelor’s Degree in Computer Engineering from the University of Florence (2016), with a thesis on neural network resilience to MPEG compression, and a Master’s Degree from the Polytechnic University of Milan (2019), with a thesis on the usage of Virtual Reality for evaluation of retinal neuroprostheses.

 

ESR4 in the MOSAICS news

MOSAICS ESRs open their 2023 conference season at ESPCI

All four of the MOSAICS ESRs recently attended the 16th European Symposium on Pediatric Cochlear Implantation (ESPCI) hosted in Rotterdam from May 30th – June 3rd. Loes Beckers (ESR 2), Nikki Philpott (ESR 3) and Enrico Migliorini (ESR 4) had the opportunity to showcase their work in an e-poster format, while Ignacio Calderón (ESR 1)

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