Working at the High Field MR Center, integrated in the European Innovation Council Pathfinder Project CITRUS, related to TUS (Transcranial Ultrasound Stimulation).

Medical Physics MSc. Final thesis developed in collaboration with the Portuguese Institute of Oncology (IPO).

Co-Founder and CPO of MAIA, an advanced AI healthcare software capable of monitoring data from wearable devices to predict and alert of heart disease with machine learning. This was made possible through a grant to attend the European Innovation Academy (EIA) 2022.The EIA gathered more than 500 students from all over the world. Together with my team, I learned about entrepreneurship, innovation, marketing and pitching from mentors who have worked for companies like Amazon, Google and… Show more Co-Founder and CPO of MAIA, an advanced AI healthcare software capable of monitoring data from wearable devices to predict and alert of heart disease with machine learning. This was made possible through a grant to attend the European Innovation Academy (EIA) 2022.The EIA gathered more than 500 students from all over the world. Together with my team, I learned about entrepreneurship, innovation, marketing and pitching from mentors who have worked for companies like Amazon, Google and Spotify. Furthermore, this opportunity allowed me to meet innovative people from diverse academic backgrounds and countries. Show less

The impact of stellar C/O abundances on planet formation: The aim of this project is to derive oxygen and carbon abundances for a sample of host planets belonging to the Sweet-Cat catalogue. The abundances of these elements, together with those of Si, Mg and Fe, will be used to derive the expected composition of rocky planet building blocks using a simple model of planet formation composition. In particular, the model allows prediction of the expected core/mantle fraction of observed… Show more The impact of stellar C/O abundances on planet formation: The aim of this project is to derive oxygen and carbon abundances for a sample of host planets belonging to the Sweet-Cat catalogue. The abundances of these elements, together with those of Si, Mg and Fe, will be used to derive the expected composition of rocky planet building blocks using a simple model of planet formation composition. In particular, the model allows prediction of the expected core/mantle fraction of observed planets, as well as the context of available water in the planets' building blocks. Show less