Susan Wei is a lecturer in the School of Mathematics and Statistics at the University of Melbourne. She currently holds a Discovery Early Career Researcher Award (DECRA) from the Australian Research Council (ARC). Her research interests include statistics, machine learning, and deep learning. She is part of the Melbourne Deep Learning Group.
PhD in Statistics, 2014
University of North Carolina, Chapel Hill
BA in Mathematics, 2009
University of California, Berkeley
In Winter 2021, I gave a week-long lecture series on Neural Networks and Related Models as part of the Australian Mathematical Sciences Institute (AMSI) Winter School program, an annual event open to graduate students, early career researchers, and industry members across Australia. The course was an introduction to deep learning as well as some probabilistic models involving neural networks (flow-based models and deep generative models).
You can find my lecture slides here for Part 1 of the course where I covered the following topics:
The second part of the module on deep generative modeling was given by Robert Salomone. You can find his excellent teaching materials here.