Fred Roosta

Senior Researcher, Big Data Group

Fred Roosta is a data science faculty member in the School of Mathematics and Physics at the University of Queensland (UQ). In addition, he holds an associate investigator position with the ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS). Prior to joining UQ, he was a post-doctoral fellow at ICSI and also in the Department of Statistics at the University of California, Berkeley, where he was supervised by Professor Michael Mahoney. He obtained his PhD from the University of British Columbia in 2015.

Fred’s research interests and prior works span several areas of applied mathematics and computer science, including machine learning, numerical optimization, scientific computing, computational statistics as well as distributed and high performance computing. He is generally interested in studying various theoretical and algorithmic aspects of solving modern data analysis problems. In 2018, he was awarded the Discovery Early Career Researcher Award (DECRA) by the Australian Research Council for his research on Second-Order Optimization for Machine Learning.