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Health Services Research Unit (HSRU)


Staff




Prof Julian Thumboo
Director, Health Services Research Unit &
Vice-Chair for Research, Medicine ACP

:Julian.thumboo@singhealth.com.sg
Prof Thumboo is a rheumatologist and health services researcher. Aside from being the Director of HSRU, he is also Director of the SingHealth Health Services Research Centre; co-Director of the SingHealth Duke-NUS Health Services Research Institute; Senior Consultant in the Department of Rheumatology and Immunology, SGH; and Vice Chair of Research in Medicine ACP, SGH.

His research aims to improve outcomes for patients through:

(1) introducing patient reported outcomes (PROs) into routine clinical care. This involves improving measurement of PROs and developing innovative methods of administering PROs;

(2) measuring medication adherence and devising interventions to improve adherence. His research interests in Systemic Lupus Erythematosus, Osteoarthritis and Patient Reported Outcomes (including assessment of Health-related Quality of Life in multi-ethnic/linguistic populations and in patients with rheumatic diseases) have resulted in over 170 publications in peer reviewed journals.


Ms Stephanie Fook-Chong
Senior Research Scientist

: 6326 5368
: stephanie.fook.m.c@sgh.com.sg
Stephanie has more than 20 years of experience in providing statistical consultation advice and engaging in research collaborations with clinicians and scientists in Singapore.

To date, she has supported numerous studies in multi-disciplinary fields, many with NMRC/SingHealth funding. She has a keen interest in topics such as construction of age-related nomograms and assessment of diagnostic tools. Over a period of eight years, 21 foetal nomograms have been constructed based on data from SGH. These nomograms are of utmost importance for evaluation of the Asian foetus. They are being uploaded into the SGH Obstetrics and Gynaecology ultrasound reporting programme, the Astraia.

As a statistical advisor for Proceedings of Singapore Healthcare, she also regularly reviews articles for this SingHealth peer-reviewed journal.

Dr Li HuiHua
Senior Biostatistician II

: 6576 2620
: li.huihua@sgh.com.sg
Huihua has a PhD from NTU, and a MS (Bioinformatics) from Chalmers University of Technology, Sweden. She has applied meta-analysis to genetic association studies to investigate the effects of gene polymorphisms on the development of certain diseases, for example, prostate cancer and breast cancer.

Huihua actively collaborates with clinician scientists in identifying patterns of linkage disequilibrium in different genes among different ethnic groups including Asians and Caucasians, in order to explain variances in genetic association studies and guide the genetic association study. Huihua also has experience in evaluating existing prognostic models and building up new prognostic models to predict survival outcomes of different types of cancer patients.

Dr Hao Ying
Research Fellow

: 6576 2630
: hao.ying@sgh.com.sg
Hao Ying has experience in the application of statistical methodology and techniques in translational clinical research and drug discovery, particularly in medical data analysis for the purpose of diagnosis and prognosis in infectious disease and biomarker studies in oncology and diabetes.

She provides statistical consultation and works closely with clinicians and epidemiologists on clinical research. Hao Ying has supported plenty of projects from various research fields such as infectious disease, neurology, urology, neonatology, emergency medicine etc.

She has interests in learning and applying advanced statistical approaches, such as mixed/multilevel models, structural equation modelling, decision tree, Bayesian model, MCMC, to assist clinicians on decision making and disease monitoring and management.

Ms Hanis Bte Abdul Kadir
Database Coordinator

: 6576 2618
: hanis.abdul.kadir@sgh.com.sg
Hanis has a Bachelor in Mathematical Sciences with specialisation in Statistics from NTU. She has experience in performing various research and statistical analyses, and is also proficient in both R and SAS programming languages.

Ms Chia Sing Yi
Database Coordinator

: 6576 2615
: chia.sing.yi@sgh.com.sg
Sing Yi received a Bachelor of Science (Hons) in Mathematical Sciences with a specialisation in Statistics from NTU. She has experience in various research areas and is proficient in programming languages such as R and SAS. She is part of the research database team, and is administering the research database in SGH using REDCap (Research Electronic Database Capture).

Ms Emily Luo Zhifei
Research Associate

: 6576 2601
: emily.luo.z.f@sgh.com.sg
Emily obtained her Master of Science in Bioinformatics from Nanyang Technological University (NTU). Emily had more than 5 years of experience in public health research before joining HSRU.

In her previous work experience, Emily worked on multiple qualitative and quantitative research projects. She was involved in questionnaire design, research fieldwork, and data analysis. Emily mainly helps with scoping & project management in HSRU. Her research interest is in population health and quality of life.

 
Mr Edmund Teo Pek Siang
Research Associate

: 6576 2685
: edmund.teo.p.s@sgh.com.sg


Edmund has a Master of Science in Public Health Research from University of Aberdeen and has been involved in the study design, data collection and data analysis of quantitative and qualitative HSR projects in SGH. Prior to his MSc, he completed a Bachelor of Science majoring in Microbiology and Immunology in Monash University and worked in a Hematology laboratory as a Medical Technologist for 3 years.

Currently, he has co-authored two articles published in peer-reviewed international journals from the work done in his Masters thesis. 
              
Ms Ang Ai Sin
Associate Executive

: 6576 2627
: ang.ai.sin@sgh.com.sg
Ai Sin graduated with a Diploma in Computer Engineering from Ngee Ann Polytechnic. She assists the team with administrative support in operational matters, and performs liaison functions to ensure smooth information flow within the Unit and/or with relevant departments.


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