I am a passionate researcher in the field of computational neuroscience, specializing in Temporal Interference neurostimulation and Ultrasound neuromodulation. My current focus revolves around exploring novel approaches to treating neurological conditions by investigating the impact of modulating neural activity. I firmly believe that neuromodulation offers immense potential for revolutionizing the treatment landscape of various neurological disorders.

Previously, my research efforts were centered on the study of neurodegenerative diseases. My work predominantly concentrated on Parkinson’s disease, using The Virtual Brain platform to simulate the personalized brain dynamics of both controls and patients to understand how the can the disease mechanisms affect it as well as the brain connectivity.

I was also part of the AI4Life project, whose aim is to develop cutting-edge technology and apply deep-learning to health science relevant challenges. My work on this project has allowed me to bring the benefits of artificial intelligence to the analysis and understanding of biomedical images, making it more accessible and user-friendly for all, using ImageJ as a framework for the newly created plugins.

In addition to my work on computational neuroscience and on AI4Life, I have also been researching on the application of neural network models to diagnose rare blood diseases, creating a succesful method based on CNNs and hand-crafted fourier features addition.

It is my ultimate goal to make a positive impact on the world through my work. I believe in the important role of science in our society and I want to inspire future generations of scientists and technologists to use their skills and knowledge for the greater good.