Alessandro Gambetti

Alessandro Gambetti is a PhD Student of Human-Computer Interaction at the Nova School of Science and Technology in the scope of the CMU Portugal Program, Lisbon, Portugal. He received an MSc in Finance from Nova SBE, majoring in Data and Business Analytics, and he holds a BSc in Economics & Finance from the Alma Mater Università di Bologna, Bologna, Italy. His research interests span from applied data science and machine learning in human-computer interaction, information systems, as well as healthcare.

Pedro Valdeira

I am a PhD candidate in Electrical and Computer Engineering, pursuing a double degree at Carnegie Mellon University (CMU) and Instituto Superior Técnico (IST). I am advised by Yuejie Chi (CMU) and João Xavier (IST), and co-advised by Cláudia Soares (NOVA). Prior to that, I received an MSc in Aerospace Engineering from IST in 2019. My research interests focus on provable optimization methods for efficient distributed machine learning systems. During my PhD, I have been working on efficient vertical federated learning.