Centre for Quantitative Medicine


Programme Aims/Objectives

Recent years have seen many new developments and challenges in the biomedical landscape that require not only expert statistical inputs but also innovative statistical solutions. Some examples include the needs for rapid responses to infectious disease outbreaks and timely development of treatment strategies for rare diseases, much reduced cost of next generation sequencing and other modern measurement methods, and the availability and connectivity of multiple data sources and big data. The Centre for Quantitative Medicine (CQM) consists of biostatisticians and epidemiologists who aim to advance medicine and improve human well-being by: 

(i) improving and developing quantitative methods for clinical, epidemiological and health services research, 

(ii) educating and mentoring biostatisticians and statistically orientated clinician scientists and medical students, and 

(iii) collaboration in clinical, epidemiological and health service research. 

CQM strives to bring biomedical research and the quantitative science communities together, as collaboration and synergism between the two is one of the keys to success in modern biomedical research. It also provides a network for quantitative scientists to interact with other colleagues in their same line of work. The nature of quantitative work can sometimes create relatively isolated work environments. CQM helps overcome this isolation and gives quantitative scientists the opportunity to better connect with other like-minded individuals.

Programme Contents and Elements

PhD in Integrated Biostatistics and Bioinformatics (IBB)

CQM and Centre for Computational Biology (CCB), Duke-NUS, jointly launched its inaugural PhD programme in Integrated Biostatistics and Bioinformatics (IBB) in August 2017. The programme distinguishes itself from others by focusing on design and analytic issues in modern biomedical research and preparing researchers to take their skills to advance medicine.

Students will complete their training in Duke-NUS’ Center for Quantitative Medicine (biostatistics) and Center for Computational Biology (bioinformatics).

For more information please click here. 

Research Areas

CQM faculty members are engaged in research on methodological issues. Major areas of methodological research include: Adaptive clinical trial designs and dynamic treatment regimes, Analysis of high dimensional data, including microarray, genome-wide association studies, and next generation sequencing (NGS), Analysis of time-to-event, recurrent event, and censored biomedical data, Diagnostic medicine, Measurement of quality of life and health utilities, Longitudinal data analysis, and Pharmacovigilance. Major therapeutic areas include: Cardiometabolic Disorders, Cancer, Infectious Diseases, Maternal and Child Health, and Ophthalmology.

Quantitative Medicine Forum

CQM sponsors a monthly Quantitative Medicine Forum with invited guest speakers. The forum is typically scheduled during lunch-time. Topics are usually quantitative in nature, but audiences have ranged from quantitative professionals to clinicians. After the talks, VAPs are created and uploaded onto the website (VAP Library).

Biostatistics Forum

CQM sponsors Biostatistics Forums from time to time on an ad-hoc basis.  The topics can be somewhat technical in nature. These are geared towards biostatisticians.

Software Training Workshops

CQM faculty and associates run regular software training courses.  The materials for these courses are vetted by independent faculty and tested before administered to participants.  The courses are usually held in a computer lab for the whole day, with participants provided with a computer and software loaded for hands-on practice.  These courses are very popular, and priority is set for staff from Duke-NUS and SingHealth.  

Year 3 Medical Students Quantitative and Clinical Mentoring

Weekly MS-III student meetings: selected CQM faculty team meet with third year medical students who are performing clinical and health services research projects.  CQM faculty typically team up with clinician mentors to form a mentoring team for each student. 

Khoo Scholars Programme

Weekly Khoo Clinical Scholar meetings: CQM faculty is matched with Khoo Clinician Scholars to support the development of their research proposal. 

Deciphering the Medical Literature

Duke-NUS medical students in their third year will take a course Deciphering the Medical Literature (DML) lead by CQM faculty. 


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Duke-NUS Centre for Quantitative Medicine Faculty
Last updated: 8 May 2017

Director, Centre for Quantitative Medicine

Tan, Say Beng , Associate Professor

Faculty Members

Allen, John Carson , Assistant Professor
Chakraborty, Bibhas , Associate Professor
Chan, Edwin , Associate Professor
Cheng, Ching Yu , Associate Professor
Cheung, Yin Bun , Professor
Fan, Qiao , Assistant Professor
Ghosh, Palash , Assistant Professor
Li, Jia Liang , Associate Professor
Lin, Xinyi Cindy , Assistant Professor
Liu, Jin , Assistant Professor
Nadkarni, Nivedita Vikas , Assistant Professor
Sabanayagam, Charumathi , Associate Professor
Saffari, Seyed Ehsan , Instructor

Adjunct Faculty Members

Bautista, Dianne Carrol Tan , Adjunct Assistant Professor
Chow, Shein-Chung , Adjunct Professor
Haaland, Benjamin , Adjunct Assistant Professor
Koh, Tong San , Adjunct Associate Professor
Li, HuiHua , Adjunct Assistant Professor
Lu, Qing Shu , Adjunct Assistant Professor
Shantakumar, Sumitra , Adjunct Assistant Professor
Shi, Luming , Adjunct Assistant Professor
Yang, Yong , Adjunct Assistant Professor

Research Associate

De Souza, Nurun Nisa Amatullah , Research Associate
Fook, Stephanie , Research Assistant (Senior)
Gandhi, Mihir , Research Associate (Senior)
Ganguly, Rehena , Research Associate
Li, Yun , Research Assistant
Ma, Xiangmei , Research Fellow
Maiti, Raju , Research Fellow