Research Interests. BOLD fMRI acquisition, MRI image reconstruction, Motion correction, Deep-Learning

Short Bio. 

I am a Swiss national, born in Geneva. I earned my Bachelor's degree in Microtechnics with a specialization in Electronic Engineering from HES-SO Geneva. My Bachelor's thesis introduced me to the field of deep learning within computer vision, where I conducted semantic segmentation of plant species to estimate soil hydrogen levels.

I then pursued a master's degree in Data-Science at HES-SO Lausanne. Throughout my master's program, I have worked on various projects focused on the medical domain, including cerebral vascular network segmentation using multiple non-coregistered imaging modalities (MRI, CT, 3DRA). 

My first project at Mat-Tech Lab was a summer job in which I developed a deep-learning algorithm to correct rigid motion of the head in raw fMRI data. 

As a PhD student under the supervision of Prof. Anschuetz Lukas from CHUV and Prof. Benedetta Franceschiello, I am working on three distinct projects. Each project focuses on imaging the anatomy and function of different sensory organs — the retinal nerve, auditory cortex and Eustachian tubes — at sub-millimeter spatial scale and high temporal resolution. The developed framework will remove the need for organ stationarity, allowing evaluation of organ behavior non-invasively and unanesthetized while undergoing motion and/or stimuli.

Affiliations:

1. Institute of Systems Engineering,  HES-SO Valais-Wallis, Route de L’industrie 23, Sion, 1950, Valais, Switzerland.

2. Faculty of Biology and Medicine, University of Lausanne, Rue du Bugnon 21, Lausanne, 1011, Vaud, Switzerland.

3. Lemanic Neuroscience Doctoral School, Lausanne, 1015, Vaud, Switzerland.

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