Dr Dan Steinberg

Pronouns: he,him,his

Team Leader

https://people.csiro.au/S/D/dan-steinberg

Biography

The majority of my research has been on probabilistic machine learning algorithms. This includes creating variational inference methods for probabilistic machine learning and optimisation, and machine learning for causal inference. I am currently working on applying machine learning to synthetic biology problems. I have also been involved in the creation and maintenance of a number of machine learning code-bases, see my website for more details.

Previously I’ve researched probabilistic algorithms for the automatic, unsupervised interpretation of data (without human training), such as underwater imagery of the seafloor obtained by autonomous underwater vehicles (AUVs).

I finished my PhD in July 2013 with the marine systems group at the Australian Centre for Field Robotics, which is in the University of Sydney. I have a Bachelor of Engineering (Mechatronics, honours 1) and Bachelor of Commerce (Finance), also from the University of Sydney.

Academic Qualifications

2013

PhD (Computer Vision/Machine Learning)
The University of Sydney
2008

Bachelor of Engineering (Mechatronic, Honours class 1)
The University of Sydney
2008

Bachelor of Commerce (Finance)
The University of Sydney

Achievements and Awards

2025-2025

Top reviewer award
NeurIPS 2025
2025-2025

Oral presentation award
ICML 2025 Workshop on Scaling up Intervention Models (SIMS)
2024-2024

Oral presentation award
NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty (BDU)
2023-2023

Oral presentation award
NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in the Real World
2014-2014

Spotlight Paper Award (Extended and Unscented Gaussian Processes)
NeurIPS

Current Roles

Team leader
Decisions & Statistical Learning

Fields of Research

Current

Professional Experiences

2019-2023

Principal Researcher
Gradient Institute
2016-2019

Senior Research Engineer
CSIRO (Data61)
2013-2016

Researcher
NICTA
2012-2013

Research Associate
The University of Sydney (ACFR)
2006-2010

Control Systems Engineer
BioPower Systems

Community and Corporate Citizenship

2022-2022

Invited talk to APS Data Professionals Forum
2022-2022

Invited talk to Jobs and Skills Australia
2020-2020

Invited talk to Australian Institute of Health and Welfare
2019-2022

Algorithmic fairness and applications lecturer and tutor, Gradient Institute
2017-2019

Data Integration Partnership Australia (DIPA) tutor and mentor
2015-2015

Lead tutor, machine learning summer school (MLSS), Sydney 2015