Fred Roosta

Biography

Fred Roosta, PhD, is a Senior Research Scientist at ICSI. He is also a Professor in the School of Mathematics and Physics at the University of Queensland, Australia. In addition, he is a Theme Leader in the Australian Research Council Centre for Information Resilience.

Dr. Roosta’s research interests span several areas of applied mathematics and computer science, including artificial intelligence and machine learning, numerical optimization, scientific computing, computational statistics, and distributed and high-performance computing. His work explores theoretical and algorithmic approaches to address modern data analysis challenges.

Prior to joining the University of Queensland, he was a Postdoctoral Fellow at ICSI and in the Department of Statistics at UC Berkeley. He was also an Associate Investigator with the Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers. Dr. Roosta obtained his PhD from the University of British Columbia. 

Publications

Selected Honors & Awards

• Leading national researcher in Mathematical Optimisation by The Australian’s Research Magazine for three consecutive years (2022-2024)
• Australian Research Council’s Discovery Early Career Researcher Award, 2018

Selected Leadership Activities

• Area Chair (equivalent to Associate Editor) for flagship international machine learning conferences, such as ICML, NeurIPS, and ICLR
• Action Editor for Transactions on Machine Learning Research

Areas of Expertise

• Machine Learning (Supervised, Unsupervised, Reinforcement Learning)
• Deep Learning and Neural Networks
• High-Performance Computing (HPC) and Supercomputing
• Distributed Systems and Decentralized Computing
• Algorithms, Complexity Theory, and Computability
• Statistical Modeling, Bayesian Methods, and Inference
• Data Mining, Pattern Recognition, and Knowledge Discovery
• Big Data Analytics, Pipelines, and Infrastructure
• Mathematical Optimization, Operations Research, and Decision Science
• Theoretical Foundations of AI and Machine Learning

ICSI Activity