Mauro Leidi

Research Interests. My primary research interests lie in the dynamic intersection of machine learning, computer vision, and biomedical image processing, with a focus on the evolving landscape of AI integration within clinical medicine. Specifically, I am dedicated to advancing my expertise in leveraging machine learning applications to address the limitations inherent to MRI and harness the full potential of this technique.

Furthermore, I am enthusiastic about tracking the latest advancements in various domains of deep learning and eagerly seek opportunities to implement these developments in real-world applications. My passion for exploring the frontiers of AI and its potential to revolutionize medical diagnostics and treatment motivates my research endeavors.

Short Bio. I am a machine learning enthusiast, driven by a profound interest in computer vision and the plethora of its potential applications. My journey in the field of technology began in Lugano, Switzerland, where I successfully completed my high school studies before embarking on my academic pursuits at EPFL in Lausanne. Initially studying microengineering during my Bachelor's, I found myself increasingly drawn to the remarkable advancements in Data Science, which led me to transition my major to Data Science.

In 2023, I completed my Master's degree, culminating my academic journey at EPFL with a Master's thesis conducted at Huawei's Research Center in Munich. My initial encounter with the Mattech Lab was during my semester project in 2022, where I gained valuable experience working with OCT scans and MAIA images, solidifying my interest in the realm of biomedical imaging.

I rejoined the MatTech lab in October 2023 as a Research Scientist, focusing on the cutting-edge 'Kick-fMRI' (Kids Compliant fMRI) project. This pioneering initiative aims to revolutionize fMRI for pediatric use, addressing the challenges posed by motion artifacts in young subjects. By developing the innovative Ki-Ck fMRI technique, tailored to reliably capture and correct for motion artifacts in children as young as 6 years old, we are opening new, exciting possibilities in pediatric neuroscience.

Affiliations:

1. The Sense Innovation and Research Center, Lausanne and Sion, Switzerland 

2. Department femme-mère-enfant, Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Rue du Bugnon 21, Lausanne, Switzerland

3. School of Engineering, Institute of Systems Engineering,  HES-SO Valais-Wallis, Route de L’industrie 23, Sion, Switzerland