Tom Blau Email & Phone Number

Sydney, New South Wales, Australia

AI and computer vision for aerial images and maps in a big data environment.

Sydney, New South Wales, Australia

MLOps for prediction and decision-making in bioreactor systems. Machine learning and classical bioinformatics for high-throughput synthetic biology.

Sydney, New South Wales, Australia

Research and development in Bayesian optimal design of experiments and reinforcement learning as part of the Machine Learning and Artificial Intelligence Future Science Platform. Includes development of mathematical theory, implementation of code, execution of experiments in a high-performance computing environment.Papers:-Bayesian Curiosity for Efficient Exploration in Reinforcement Learning (ACRA 2020).-Learning from Demonstration without Demonstrations (ICRA 2021).-Optimizing Sequential Experimental Design with Deep Reinforcement Learning (ICML 2022).-Unsupervised machine learning framework for discriminating major variants of concern during COVID-19 (PLoS One 2023).Book chapter:-Machine Learning for Biological Design (Springer, 2024).Public code:https://github.com/csiro-mlai/rl-boed

Sydney, New South Wales, Australia

Level A7 postdoctoral research fellow in reinforcement learning & control

Sydney, Australia

Research in Reinforcement Learning, Control, and Robot Learning. Particular interest in combining RL with planning and Bayesian methods.Thesis:Hybrid Methods for Efficient Exploration in Reinforcement Learning(https://ses.library.usyd.edu.au/handle/2123/23476)Papers:-Improving Reinforcement Learning Pre-Training with Variational Dropout (IROS 2018)-Bayesian Curiosity for Efficient Exploration in Reinforcement Learning (under review, ICRA 2020)-Reinforcement Learning with Probabilistically Complete Exploration (under review, ICLR 2020)Scholarships:-University of Sydney PG Merit Award.-NICTA Research Project Award.

Sydney, Australia

Worked on all parts of Smart Sparrows education technology platform, including:-Front end (html, css, javascript)-Back end (Java, Python, database management)-Deployment (cloud services)

Doctor Of Philosophy - Phd, Computer Science

Thesis: Hybrid Methods for Efficient Exploration in Reinforcement Learning (https://ses.library.usyd.edu.au/handle/2123/23476)

Bachelor'S Degree, Information Technologies (Advanced) (Honours), Computer Science, 86