MoCaO Lectures:  Data Science, 11-15 July 2022

Due to unforeseen problems with the registration system, all registrations for MoCaO lectures up till until the date 29/06/2022 have been lost. To register again, please use the new registration  form on MoCaO lectures webpage.

The inaugural MoCaO Lectures in Computation and Optimisation are focused on Data science and in particular machine learning, its algorithms, mathematical foundations and applications. These lectures are designed to be accessible to novices to the field who have a mathematics and computational background, such as PhD students, postdocs and academics who wish to have a better understanding of recent advances in this dynamic field.

These one hour lectures will be held each day during the week of July the 11 to the 15th and will be scheduled at 12noon AEST on the Monday through to the Thursday and will be starting at 12.30 on the Friday and run for 2 hours that day. All lectures will be broadcast via Zoom.

Speakers

Prof. Stephen Wright:  is the George B. Dantzig Professor of Computer Sciences at the University of Wisconsin-Madison. He is a past chair of the Mathematical Optimization Society and a SIAM Fellow. Currently he directs the Institute for Foundations of Data Science at the University of Wisconsin Madison. Steve is a world renowned expert in optimization and the author of several highly cited books in this field.

Prof. Guoyin Li: is a professor in the School of Mathematics and Statistics at University of New South Wales. He was awarded an Australian Research Council Future Fellowship (for mid-career researchers) during 2014-2018. His research interests include optimisation, variational analysis, machine learning and tensor computations.

Dr. Quoc Thong Le Gia: is a Senior Lecturer in the School of Mathematics and Statistics, UNSW, Sydney. His research interests include Numerical Analysis, Approximation Theory; Partial Differential Equations; Machine Learning and Stochastic Processes.

For more information and to register, please visit http://www.mocao.org/mocao-lectures-data-science/.