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, BSÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý
Professor Blanca Gallego Luxan leads a research unit in Ìýat the Centre for Big Data Research in Health, Â鶹Éçmadou.
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
Ìý National Health and Medical Research Council (NHMRC) Grants
- Centre for Research Excellence in Digital HealthÌý Ìý ÌýCo-investigator $2,500,000 (2018-2022)
- Research Project Grant in Precision MedicineÌý Ìý Ìý Ìý ÌýLead investigator $520,967 (2017-2019)
- Research Project Grant in Clinical AnalyticsÌý Ìý Ìý Ìý Ìý Ìý Lead investigator $312,000 (2013-2016)
- Centre for Research Excellence in e-healthÌý Ìý Ìý Ìý Ìý Ìý ÌýCo-investigator $2,500,000 (2011-2015) Ìý
Ìý Hearing Industry Research Consortium Grants
- Large-scale clinical hearing rehabilitation dataÌý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý ÌýÌýCo-investigator $150,00 (2015)
ÌýÌýSt Vincent’s Clinic Foundation Grants
- Predicting hospital readmission riskÌý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý ÌýÌýLead investigator $30,00 (2015)
ÌýÌýAustralia-India Strategic Funds
- Modelling Large-Scale Linked DataÌý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý ÌýÌý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý ÌýCo-investigator $27,400 (2013)
Ìý HCF Health and Medical Research Grant
- An independent national clinical evidence serviceÌý ÌýCo-investigator $1,000,000 (2008-2009)
Ìý
- Best paper awards at international conferencesÌý ÌýÌý1999, 2009, 2012 and 2017
- Researcher of the year award (AIHI)Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý2015
- Bjerkness Memorial award (UCLA)Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý2002
- Postgraduate FellowshipsÌý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý1995, 1995-1998, 1999
Ìý
- Enabling Personalised Cohort Studies from Large Repositories of Clinical Practice Data.
- Aim:ÌýTo design, develop and validate methods for the estimation ofÌýtreatment effects for individual patients usingÌýEMR, ultimately supporting the practice of precision medicine.
- Principal Investigators:ÌýAssociate Professor Blanca Gallego Luxan, Elliott Zhu (PhD student)
Ìý
- Identification of patients at theÌýend-of-lifeÌýusing HOMR Score atÌýPrince of Wales Hospital.Ìý
- Aim:ÌýThe 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:ÌýDr Meg Sands (SESLHD – lead investigator), Associate Professor Blanca Gallego Luxan, Sarah-Jane Messum (SESLHD), Antony Kodsi.
Ìý
- Identification ofÌýcancerÌýpatients likely to have radiation treatment plan violations atÌýNorth Shore Hospital.
- Aim: The aim of this tool is to improve the quality and efficiency of developing radiation treatment plans.
- Principal Investigators:ÌýDr 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).
Ìý
- AÌý‘watch list’Ìýtool atÌýSt Vincent’s Hospital. This tool provides an automatically-populated list of patients at high risk ofÌýdeterioration, and also serves as a valuable source of reliable information during ‘handover’ at each medical shift change.
- Aim:ÌýThe 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).
Ìý
- Prediction of hypoglycemic events in ICU patients atÌýWollongongÌýandÌýJohn Hunters Hospital.
Aim:ÌýThe 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).
Ìý
- Platform to help cliniciansÌýchoose and validate existing predictive toolsÌýin 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).
Ìý
- 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.Ìý
- 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 inÌýICU patients)