I am a second year PhD student in probabilistic machine learning at DTU Compute (started in Oct. 2020), interested in deep generative models, variational inference, and unsupervised learning. I am working together with Jes Frellsen , Søren Hauberg, and Pierre-Alexandre Mattei.
I obtained my MSc degree in Computer Science and Engineering from DTU and I spent one exchange semester at the University of British Columbia (UBC). Prior to that, I obtained a BSc in Computer Engineering from University of Padua, Italy.
Having helped in developing two ML BSc courses at DTU, I really enjoy and value well-written explanations and introductions to various topics. I will try to write and share notes on stuff I learn.
Feel free to reach out! :)