Skip to main content
CTDS STaff
People_

Our academics

Meet our researchers
Our members hold knowledge in a wide variety of areas within data science, from Bayesian nonparametrics to machine learning.

Hadi Afshar

Hadi Afshar

Dr Hadi Afshar completed a PhD in Artificial Intelligence and Machine Learning at the Australian National University.

His current research at the Centre of Translational Data Science is on applying probabilistic reasoning to nutritional biology (with Prof. Sally Cripps and Prof. Stephen Simpson).

His main research interest involves approximate inference on piecewise and complicated probabilistic models. 


Rohitash Chandra

Rohitash Chandra

Dr Rohitash Chandra is a Research Fellow at the Centre for Translational Data Science and School of Geosciences at the University of Sydney. His research interests are in areas of deep learning, neuro-evolution, Bayesian methods, solid Earth Evolution, reef modelling and mineral exploration. He is currently developing novel learning algorithms for robust and dynamic decision making given misinformation and uncertainty from the environment. This provides a synergy of deep learning methods with Bayesian inference, and multi-task learning. Furthermore, he is involved in projects that employ machine learning methods and Bayesian inference via parallel tempering for solid Earth evolution, mineral exploration, and reef modelling.

Projects

  • Bayesian deep learning for uncertain environments
  • Solid Earth evolution
  • Reef modelling
  • Mineral exploration

Gilad Francis

Gilad Francis

Research Fellow

Dr Gilad Francis joined the University of Sydney in 2014 with extensive multidisciplinary experience in the private sector. His research interests include Bayesian active learning methods, planning and decision-making in robots, and data fusion. His industry engagement includes developing adversarial behavioural models for the Defence Science and Technology Group.

Research focus

Projects

  • Machine-learned defence to adversarial RF systems via system identification and strategy optimisation

Roman Marchant

Roman Marchant

Research Fellow and Lecturer

Dr Roman Marchant completed a PhD in Machine Learning at the School of Information Technologies. His current research at the Centre for Translational Data Science explores applying data science to the social sciences, currently focusing on predicting crime and understanding criminal behaviour. His area of expertise is Sequential Bayesian Optimisation (SBO).

Research focus

  • Data fusion
  • The science of decision-making
  • Data science ethics, law and policy
  • Human behaviour
  • Government and policy
  • Autonomous systems

Projects

  • Bayesian risk prediction instruments (with David Kohn)
  • Space-time and demographics crime prediction (with Sebastian Haan)
  • Tinder for researchers (with Chao Sun and King Tao)
  • Bayesian optimisation for GLM (with Di Lu and Huang Yi)
  • Environmental model for crime (with Jose Vera )
  • CNN model for crime (with Rohit and Rui Geng)
  • Visualisation for crime models (with Zue Zhang and Xiadong Chu)
  • Problem gamblers (with Alex Blazsinsky)

Richard Morris

Richard Morris

Research Affiliate

Dr Richard Morris has 10 years experience leading multidisciplinary projects in neuroscience, within cognitive science, computational neuroscience, brain imaging, and decision-making. A recipient of a NARSAD Young Investigator Award, his research has been supported by the NHMRC and published in top-tier journals such as Nature Communications and Molecular Psychiatry.

Research focus

  • Mental health
  • Human behaviour

Projects

  • Evaluation of early intervention services for psychosis (hYEPP)
  • Causal determinants of mental wellbeing in Australia (HILDA)
  • Bias removal in MRI datasets

Lionel Ott

Lionel Ott

Research Fellow

Dr Lionel Ott is a research fellow with expertise in both machine learning and robotics. In machine learning his main field of interest is clustering and anomaly detection, while on the robotics side he works on long-term autonomy, mapping, as well as planning.

Research focus

  • Data fusion
  • Autonomous systems

Projects

  • Origin energy: Modelling subsurface geology

Fabio Ramos

Fabio Ramos

Associate Professor Fabio Ramos is an expert in machine learning and robotics at the School of Information Technologies. He received a Bachelor of Science and Master of Science in Mechatronics Engineering at the University of Sao Paulo, Brazil, in 2001 and 2003 respectively, and a PhD at University of Sydney in 2008. Between 2008 and 2010 he was an ARC Postdoctoral Fellow and from 2012 to 2014 he was an ARC DECRA fellow. He has more than 130 peer-reviewed publications and has received numerous awards. His research focuses on statistical machine learning techniques for large-scale data fusion, with applications in robotics, mining, environmental monitoring and healthcare.


Rafael dos Santos de Oliveira

Rafael dos Santos de Oliveira

Dr Rafael dos Santos de Oliveira is interested in the problems stemming from planning under uncertainty. In many scenarios, a solution to a planning problem has to be determined without the full knowledge of factors such as internal dynamics or planning objective. Rafael applies Bayesian optimisation to solve these types of problems. He is currently working on how to use Bayesian optimisation methods to solve planning problems in robotics where uncertainty is inherent.


Aldo Saavedra

Senior Research Scientist

Dr Aldo Saavedra is interested in the application of state of the art data analytics to health and creating capacity within the health system to promote the use of data to improve patient outcomes, optimise service delivery and enable discovery. Aldo's current work is focussed on routinely collected data stored within hospital’s electronic medical record (eMR). 

 

  • Can the application of methodical, robust and reproducible data science techniques transform the data into a source of high quality information?

        A number of projects will shed light into this question and showcase the         quality and extent of the information within the eMR. These projects are         in the areas of cardiology (SPEED-Extract) and sepsis where well         specified questions with clinical interest have been articulated.  

 

  • Has the correct data been recorded during the episode of care and is the quality good enough to, for example, identify the cohort of interest and calculate or derive safety and quality indicators such as time to first ECG or time to antibiotics as well as determining their impact in patient outcomes? 

        The work requires a multi-disciplinary team that includes clinicians,         software engineers, data scientists and translators, working closely with         the Sydney Health Partners, Local Health Districts (such as Northern         Sydney Local Health District) and the Children’s Hospital Network.


Richard Scalzo

Richard Scalzo

Senior Research Scientist

Dr Richard Scalzo’s work focuses on the use of Bayesian inference to learn the covariance structures of complex sensors or simulation processes, with applications in geophysics, astrophysics, and renewable energy.

Research focus

  • Understanding the Earth’s evolution (geoscience)
  • Infrastructure (renewable energy)

Projects

  • [SAMI] Probabilistic datacubes for integral field spectroscopy
  • [Obsidian] Localising geological formation boundaries via Bayesian joint inversion
  • [MWATS] Detrending radio transient light curves from the Murchison Wide-Field Array
  • [RMHMC] Markov chain Monte Carlo on function spaces

Charmaine Tam

Charmaine Tam

NHMRC Early Career Fellow

Dr Charmaine Tam is an award-winning biomedical scientist with more than 10 years experience investigating the physiological mechanisms behind obesity and its metabolic complications. Charmaine’s research has evolved to health data analytics, where she partners with local health districts and industry to create insights from electronic medical records to improve health outcomes and health efficiency.

Research focus

  • Personalised medicine

Projects

  • Characteristics, management and outcomes of patients presenting with chest pain and acute coronary syndrome using data extracted from electronic records from Sydney Health Partner facilities. 
  • Harnessing data from electronic medical records to improve patient care and health outcomes: proof-of-concept study of febrile neutropenia in paediatric oncology. 
  • Using big data to improve health efficiency and reduce low-value care: An exploratory study using pathology testing. 
  • Analysis of the diagnosis of type 2 diabetes (T2D) in primary care in Australia. 

Internal Academic Collaborators

Dr Tristram Alexander

Lecturer in Physics

Faculty of Science

 

Dr Lamiae Azizi

Lecturer in Mathematics and Statistics

Faculty of Science

 

Garner Clancey

Dr Garner Clancey

Senior Lecturer in Criminology

Sydney Law School

Nick Glozier

Professor Nick Glozier

Prof of Psychological Medicine

Brain and Mind Centre

 

Ian Hickie

Professor Ian Hickie AM

Co-Director Health and Policy

The Brain and Mind Centre

Frederico Maggi

Dr Frederico Maggi

Senior Lecturer

Faculty of Engineering and Information Technologies

Dietmar Muller

Professor Dietmar Müller

Professor of Geophysics

Faculty of Science

 

Tristan Salles

Dr Tristan Salles

Lecturer in Geophysics

Faculty of Science

Mac Shine

Dr Mac Shine

Robinson Fellow, Central Clinical School

Faculty of Medicine and Health

Fiona Tang

Dr Fiona Tang

Postgraduate Research Associate

Faculty of Engineering and Information Technologies

Garth Tarr

Dr Garth Tarr

Lecturer in Statistics and Data Science

Faculty of Science

 

Kimberlee Weatherall

Professor  Kimberlee Weatherall

Professor of Law

Sydney Law School

Stefan Williams

Professor Stefan Williams

Head of School: School of Aerospace, Mechanical and Mechatronic Engineering

Faculty of Engineering and Information Technologies

Eduardo Altmann

Associate Professor Eduardo Altmann

Associate Professor in Mathematics

Faculty of Science

Monika Bednarek

Associate Professor Monika Bednarek

Linguistics Department Chair

Faculty of Arts and Social Sciences

Nick Enfield

Professor Nick Enfield

Professor of Linguistics

Faculty of Arts and Social Sciences

 

Aaron Greenville

Dr Aaron Greenville

Postgraduate Research Associate

Faculty of Science

Joseph Lizier

Dr Joseph Lizier

Senior Lecturer in Complex Systems

Sydney Business School

Arunima Malik

Dr Arunima Malik

Lecturer in Sustainability

Faculty of Science

 

Kim Rasmussen

Professor Kim Rasmussen

Interim Dean 

Faculty of Engineering and Information Technologies

Marcel Scharth

Dr Marcel Scharth

Lecturer in Business Analytics

Sydney Business School

Stephen Simpson

Professor Stephen Simpson

Academic Director

Charles Perkins Centre

Dacheng Tao

Professor Dacheng Tao

Professor of Computer Science

Faculty of Engineering and Information Technologies

Glenda Wardle

Professor Glenda Wardle

Professor of Ecology and Evolution

Faculty of Science

Jody Webster

Associate Professor Jody Webster

Associate Professor of Geosciences

Faculty of Science

Amy Conley Wright

Associate Professor Amy Conley Wright

Director of the Instiitute of Open Adoption Studies

Faculty of Arts and Social Sciences


External Academic Collaborators

Martin Gerlach

Dr Martin Gerlach

Postdoctorate Felliow

Northwestern University

Tiago Peixoto

Dr Tiago P Peixoto

Assistant Professor in Applied Maths

University of Bath