Professor Blanca Gallego Luxan
- PhD (2002), Climate Modelling, University of California Los Angeles (UCLA)
- MS (1995), Quantum Chemistry, Autonoma University of Madrid
- BS (1994), Physics, Autonoma University of Madrid
- Postgraduate courses on Quantitative Financial Methods, University of Technology Sydney
Blanca Gallego Luxan PhD, MS, BS听听听听听听听听听听听听听听听听听听听听听听听听听听听听听听听听听听听听听听听听听听听
Professor Blanca Gallego Luxan leads a research unit in 听at the Centre for Big Data Research in Health, 亚美棋牌.
Trained as a physicist, Blanca obtained a PhD in climate modelling from the University of California, Los Angeles (UCLA). She then relocated to Australia where she worked at the University of Sydney developing accounting frameworks for assessing the environmental impact of corporations. Blanca joined the Australian Institute of Health innovation (AIHI) in 2006. During her time at AIHI, she established a growing and successful research program in Health Analytics, developing and evaluating state-of-the-art techniques for clinical decision support, precision medicine, patient safety, and biosurveillance. In November 2017 she joined the Centre for Big Data Research as head of the Clinical Machine Learning Research Unit.
- Publications
- Media
- Grants
- Awards
- Research Activities
- Engagement
- Teaching and Supervision
听 National Health and Medical Research Council (NHMRC) Grants
- Centre for Research Excellence in Digital Health听 听 听Co-investigator $2,500,000 (2018-2022)
- Research Project Grant in Precision Medicine听 听 听 听 听Lead investigator $520,967 (2017-2019)
- Research Project Grant in Clinical Analytics听 听 听 听 听 听 Lead investigator $312,000 (2013-2016)
- Centre for Research Excellence in e-health听 听 听 听 听 听 听Co-investigator $2,500,000 (2011-2015) 听
听 Hearing Industry Research Consortium Grants
- Large-scale clinical hearing rehabilitation data听 听 听 听 听 听 听 听 听 听 听听Co-investigator $150,00 (2015)
听听St Vincent鈥檚 Clinic Foundation Grants
- Predicting hospital readmission risk听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听听Lead investigator $30,00 (2015)
听听Australia-India Strategic Funds
- Modelling Large-Scale Linked Data听 听 听 听 听 听 听 听 听 听 听听 听 听 听 听 听 听 听 听 听Co-investigator $27,400 (2013)
听 HCF Health and Medical Research Grant
- An independent national clinical evidence service听 听Co-investigator $1,000,000 (2008-2009)
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- Best paper awards at international conferences听 听听1999, 2009, 2012 and 2017
- Researcher of the year award (AIHI)听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听2015
- Bjerkness Memorial award (UCLA)听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听2002
- Postgraduate Fellowships听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听1995, 1995-1998, 1999
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- Enabling Personalised Cohort Studies from Large Repositories of Clinical Practice Data.
- Aim:听To design, develop and validate methods for the estimation of听treatment effects for individual patients using听EMR, ultimately supporting the practice of precision medicine.
- Principal Investigators:听Associate Professor Blanca Gallego Luxan, Elliott Zhu (PhD student)
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- Identification of patients at the听end-of-life听using HOMR Score at听Prince of Wales Hospital.听
- Aim:听The main aim of this tool is to provide a platform that helps clinicians start discussions around symptom assessment and management and also to make sure that advance care directives are recorded in the EMR, ultimately improving care for end-of-life patients.
- Principal Investigators:听Dr Meg Sands (SESLHD 鈥 lead investigator), Associate Professor Blanca Gallego Luxan, Sarah-Jane Messum (SESLHD), Antony Kodsi.
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- Identification of听cancer听patients likely to have radiation treatment plan violations at听North Shore Hospital.
- Aim: The aim of this tool is to improve the quality and efficiency of developing radiation treatment plans.
- Principal Investigators:听Dr Thilo Schuler (NSLHD and PhD student leading this project), Associate Professor Blanca Gallego Luxan (supervisor), Professor Thomas Eade (Central Coast LHD), Dr John Kipritidis (NSLHD).
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- A听鈥榳atch list鈥听tool at听St Vincent鈥檚 Hospital. This tool provides an automatically-populated list of patients at high risk of听deterioration, and also serves as a valuable source of reliable information during 鈥榟andover鈥 at each medical shift change.
- Aim:听The main aim of the watch list is to prevent unplanned ICU admissions and rapid response calls.
- Principal investigators: Georgina Kennedy (PhD student leading this project), Associate Professor Blanca Gallego Luxan (supervisor), Rose Mary Kennedy (SESLHD).
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- Prediction of hypoglycemic events in ICU patients at听Wollongong听and听John Hunters Hospital.
Aim:听The main aim of this tool is to improve existing blood glucose management protcols for ICU patients. - Current Status: This project commenced only a couple of months ago.
- Principal Investigators: Dr Nikhil Kumar (Hunter New England LHD and PhD student leading this project), Associate Professor Blanca Gallego Luxan (supervisor), Dr Michael Davis (Illawara Shoalhaven LHD).
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- Platform to help clinicians听choose and validate existing predictive tools听in their local context.
- Aim: To support safe, value-driven analytics tools in clinical practice and to increase the efficiency in the process of assessing and evaluating clinical predictive algorithms.
- Principal Investigators: Associate Professor Blanca Gallego Luxan, Georgina Kennedy (PhD student).
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- GRASP Grading and Assessing Predictive tools for clinical decision support.
- Aim: To provide clinicians and healthcare administrators with an objective, evidence-based approach to support their search and selection of cost-efffective clinical prediction tools.听
- Principal Investigators: Dr Mohamed Khalifa (PhD student leading this project), Associate Professor Blanca Gallego Luxan (supervisor), Associate Professor Farah Magrabi (Co supervisor).
My Research Supervision
Georgina Kennedy (predicting clinical deterioration during hospitalisation)
Elliott Zhu (estimation of heterogenous treatment effects on survival outcomes)
Dr Mohamed Khalifa (supporting the choice of cost-effective predictive tools for clinical decision support)
Dr Thilo Schuler (data quality and predictive analytics to support decisions in radiation oncology)
Dr Nikhil Kumar (predicting hypoglycemic events in听ICU patients)