Carpe Diem

I am a Computer Science Master’s student at the University of Manitoba. My research interest consists of various applications of Machine Learning, such as Federated Learning, Reinforcement Learning, Computer Vision, and Causal Inference. As for my previous stimulating projects, I can mention PyFed, an open-source federated learning platform for Python, and a causation model that detects inequality of opportunity in Switzerland for a specific case. You can find further information about me and my projects on my GitHub page!  Under Sara’s supervision, I will be working on the union of two exciting fields of Computer Science, Blockchains and Federated Learning. As a new member of the TCDT lab, I feel incredibly motivated to learn the ways of research and technology, and I am waiting for the thrilling experiences that this journey will bring me.