Bavani Arunasalam

Dr Bavani Arunasalam is a lead scientist in data mining and analytics at the CMCRC. She is an Honorary Associate of the University of Sydney and has extensive experience in risk identification, fraud detection, and predictive modelling using advanced data mining, text mining, and statistical techniques. Arunasalam received her PhD in computer science from Sydney University.
Areas of expertise: Data Mining / Analytics

Julien Ugon

Julien Ugon is from the Faculty of Science and Technology at Federation University of Australia. He holds a PhD in applied mathematics from the University of Ballarat (Australia), received in 2005. Julien’s research interests include nonsmooth optimization and applications, telecommunications and data analysis.
Areas of expertise:  Data Mining / nonsmooth optimization and applications  telecommunications and data analysis.

Federico Girosi LinkedIn

Associate Professor

Federico Girosi is an Associate Professor in Population Health at the School of Medicine, Western Sydney University and the Head of Research of the Health Market Quality program of Capital Markets CRC. Dr. Girosi is a health economist and a data scientist whose interests span a wide range of topics.

He is currently working in collaboration with federal and state organizations, as well with the private sector, on projects that apply data analytics to the solution of problems of immediate interest. Examples of his current projects include the development of a microsimulation for the prediction of health and health care utilization under different policy scenarios, the detection of clusters and anomalies in health trajectories, the design of customizable catchment areas and the analysis of the role of chronic conditions in the DRG hospital payment system.

He is also a Chief Investigator in three NHMRC sponsored projects: two that studies ways to manage ear infections in urban Aboriginal children and one that looks at immediate versus delayed care for gestational diabetes diagnosed at booking.

Dr. Girosi is also involved in research in the burden of eating disorders and in the evaluation of labor and birth programs.

Dr. Girosi earned a Ph.D. in Health Policy from Harvard University in 2003, and worked 8 years at the RAND Corporation (Santa Monica, U.S.A.). His best known RAND project was the development of the COMPARE microsimulation, which was used to evaluate the impact of health care reform commonly known as “Obamacare”. He also holds a Ph.D. in Physics from the University of Genoa, Italy, and conducted research for 10 years at the Artificial Intelligence Laboratory at the Massachusetts Institute of Technology (MIT) in the areas of machine learning and computer vision.

Dr. Girosi has published in a number of peer-reviewed international journals, including the New England Journal of Medicine, Health Affairs, Nature, Science and the Proceedings of the Institute of Electrical and Electronics Engineers. He is also the author of a book, published by Princeton University Press in 2008 and co-authored by Gary King, entitled “Demographic Forecasting”.

This information has been contributed by Doctor Girosi.

Supervisor Homepage
Areas of expertise: Health Economics / Data Mining

Dr Janneke Berecki-Gisolf

Senior Research Fellow
Dr Janneke Berecki-Gisolf, Senior Research Fellow at the Monash Injury Research Institute (MIRI) has received an ISCRR Fellowship to complete a three year study investigating the outcomes of compensable injury in Victoria.
Areas of expertise:  Data Mining

Blanca Gallego Luxan

Research Fellow
Dr Blanca Gallego Luxan PhD (UCLA), BS (UAM) is a Senior Research Fellow at the Australian Institute of Health Innovation (AIHI) and leads the modelling and simulation in health team. This multidisciplinary research group is developing new empirical models for the analysis, assessment and prediction of healthcare delivery and for the integration of new sources of information into public health and clinical decision making. Supervisor Homepage
Areas of expertise: Data Mining

Guillermo Pineda-Villavicencio


Dr Guillermo Pineda-Villavicencio currently researches the theory and application of Discrete Mathematics. Within Discrete Mathematics, I am mainly interested in the areas of Combinatorics, Permutation Groups and Combinatorial Optimization. However, I have also worked on Computational Geometry and on the design of geographic information systems.

I form part of the Centre for Informatics and Applied Optimization (CIAO) at Federation University Australia, and of the research group Graph Theory and Applications (GTA) at the University of Newcastle (Australia).

I am also a moderator and contributor to the Combinatorics Wiki project, project aiming to present the latest concepts, results, conjectures and references in various topics of Combinatorics.

Awards and Fellowships

  1. Postdoctoral Fellowship (2013), Skirball Foundation via the Center for Advanced Studies in Mathematics at Ben-Gurion University of the Negev.
  2. FAPESP’s Postdoctoral Fellowship (2012), University of Sao Paulo, declined.
  3. IBM Faculty Innovation Award. IBM Smarter Planet Industry Skills Innovation Awards 2010. (With Dr Julien Ugon and Dr Nadezda Sukhorukova).


  1. PhD in Mathematics, Federation University Australia, 2009
  2. Bachelor of Computer Science (Honours), University of Oriente (Cuba), 2002
Supervisor Homepage
Areas of expertise: Maths / Data Mining

Uma Srinivasan

Adjunct Professor
Dr Uma Srinivasan currently works as a research scientist and mentor for health market quality PhD students at Capital Markets CRC. Dr Srinivasan also provides advise to research and product development in the area of health information business intelligence services. Formerly she worked as Principal Research Scientist at CSIRO, Australia leading a team of IT professionals, scientists and engineers in two specialist areas: Health Data Integration and Multimedia Delivery Technologies. Her previous position also includes working as a Project Director at Prince of Wales Hospital Group, South Eastern Sydney Area Health Service, where she was responsible for designing managing implementations of large inter-hospital systems. She has several international publications in the areas of health information systems, multi-database and multimedia systems. She holds a PhD in Computer Science from the University of New South Wales. Dr Srinivasan is an Adjunct Professor at Western Sydney University, Australia. Her research interests include network analytics and predictive modelling for the healthcare sector. Areas of expertise: Health Economics / Data Mining

Joshiah Poon

Senior Lecturer
IT academics have been working with hospitals for decades to improve Western medicine. Dr Josiah Poon is working to do the same with Eastern medicine, by applying data mining and other IT techniques to Traditional Chinese Medicine (TCM). “The core of TCM is the interaction of herbs. There are many different combinations of herbs currently in use for each illness, and I develop algorithms using clinical records to try to discover the most effective treatments. “I use a measurement called complementarity, which is found in economics. It works on the principle that the whole is larger than the sum of its parts – in this case, two separate herbs on their own may each do nothing, but when put together they may be a powerful treatment. “My work with a hospital in Beijing has vastly improved the treatments available to its patients, and I am currently working with a research centre in Shanghai to quantify the effectiveness of the drugs it produces. “While there are fewer TCM practitioners in Australia than there are in China, Australia is the first Western country to introduce the regulation of TCM through registration, which indicates the impact Chinese medicine is having on our health system. “I am personally passionate about this area because I am from a Chinese background and I don’t really see any difference between Western and Eastern medicine – they are both effective ways of aiming to cure illness. However, Eastern medicine tends to be seen as non-scientific, so I am using IT to build evidence of its scientific merit. “I started working in this field in 2008, and have been at the University of Sydney since 2001. The Chinese Studies Centre here helps to promote this sort of work, which is fantastic.”
Areas of expertise:  Data Mining