Master of Science in Precision Health & Medicine (MSc PHM)

Transforming Healthcare with Artificial Intelligence & Big Data

Overview

The Master of Science in Precision Health and Medicine (MSc PHM) at the NUS Yong Loo Lin School of Medicine is a postgraduate programme available in three formats: full-time (1 year), with a capstone project (2 years), or part-time (up to 4 years). Recognised by Singapore’s Ministry of Health under the Research, Innovation and Enterprise (RIE2025) strategic plan, this programme equips students with skills in genomics, proteomics, drug discovery, AI, and big data analysis. Graduates gain comprehensive knowledge, critical thinking, problem-solving skills, and valuable industry experience, preparing them for careers in the rapidly evolving field of Precision Medicine.
  • Gain multidisciplinary skills
  • Learn from academic and clinical leaders
  • Get industry insights from experts of leading biotechnological firms

Intake: August 2025

Duration:
1 Year (Full-time without capstone)
2 Years (Full-time with capstone)
Up To 4 Years (Part-time)
Application Start Date:
Open Now
Application Deadline:
May 2025
Outcome of Applications
–
Apply Now
Course Brochure
Contact Us

Ideal candidates for the programme

MSc PHM: Doctors, Healthcare Workers, Scientific Writers, Precision Medicine Educators, Government Policy Makers, Corporate Policy Makers, Medical Sales & Marketing Personnel

MSc PHM with Capstone: Researchers, Precision Medicine Scientists, Bioinformaticians, Data Analysts

MSc PHM (Flexible): Busy working professionals and individuals looking to upskill while considering commitment to a full MSc

Graduates can pursue careers in roles such as:

  • Research Scientists
  • Bio Informaticians
  • Data Analysts
  • Medical AI Engineers
  • Medical Algorithm Engineers
  • Medical AI Machine Learning Engineers
  • Scientific Writers
  • Scientific Communications
  • Journal Editors

Programme Faculty

A/Prof Caroline Lee

Vice Dean, NUS Graduate School, NUS Yong Loo Lin School of Medicine

Learn more

A/Prof Kenneth Ban

Programme Director, National Supercomputing
Cluster Singapore (NSCC)

Learn more

A/Prof Caroline Lee

Vice Dean, NUS Graduate School, NUS Yong Loo Lin School of Medicine

Learn more

A/Prof Kenneth Ban

Programme Director, National Supercomputing
Cluster Singapore (NSCC)

Learn more
The MSc PHM is available as a 1-year full-time programme, a 2-year full-time programme with a capstone project, or a 4-year flexible part-time degree.

Graduation Requirements
Total Units Required: 40 Units

To graduate, students have to:

Master of Science in Precision Health & Medicine

Complete 6 core courses (4 units each, 28 units in total), and
Choose and complete 4 elective courses (4 units each, 12 units in all) from the list.

Master of Science in Precision Health & Medicine with Capstone

Complete 6 core courses (4 units each, 28 units in total), and
Choose and complete 2 elective courses (4 units each, 6 units in all) from the list.
Choose and Complete 1 Capstone Project from Academic or Industry Project

Master of Science in Precision Health & Medicine (Flexible)
Complete 6 core courses (4 units each, 28 units in total), and Choose and complete 4 elective courses (4 units each, 12 units in all) as Executive Cerificates and Graduate Cerificates
View the full list of courses

Relevant Certification Programmes

A portion of our MSc programme can be taken as Executive Certificates (EC) and Graduate Certificates (GC), allowing you to acquire knowledge and skills pertinent to a specific topic in Precision Health and Medicine.

When you enroll for your MSc programme, there is potential for the relevant ECs and GCs that you’ve completed with a minimum CAP of 3.5 to be transferred towards your MSc requirements within 5 years. Each of our GCs consist of 2 courses, and all courses listed in the respective GCs can also be taken individually as ECs.

Graduate Certificate in Big Data Analytics in Precision Medicine (8 Units)
  • Executive Certificate in Applied Statistics for Precision Medicine
  • Executive Certificate in High Performance Computing for Precision Medicine
Graduate Certificate in Fundamentals of Precision Medicine (8 Units)
  • Executive Certificate in Human Genomics in Precision Medicine
  • Executive Certificate in Preteomics and Metabolomics in Precision Health and Medicine
Graduate Certificates in Innovation Precision Medicine (8 Units)
  • Executive Certificate in Causal Inference in Precision Medicine
  • Executive Certificate in Technological Innovation in Precision Medicine
Graduate Certificate in Precision Biomarker Identification and Diagnosis/Prognosis (8 Units)
  • Executive Certificate in Precision Biomarkers
  • Executive Certificate in Precision Diagnostics
Graduate Certificate in Drug Discovery, Pharmacogenomics and Therapeutics (8 Units)
  • Executive Certificate in Precision Drug Discovery and Development
  • Executive Certificate in Precision Diagnostics
Graduate Certificate in Clinical Precision Medicine (8 Units)
  • Executive Certificate in Clinical Perspective in Precision Medicine
  • Executive Certificate in Precision Oncology

Please refer HERE for the proposed study plan for full-time and part-time students.

  • Full-time students are expected to complete the programme within 12 – 24 months. The maximum candidature is 24 months; excluding Leave of Absence (LOA).
  • Part-time students are expected to complete the programme within 24 – 36 months. The maximum candidature is 36 months; excluding Leave of Absence (LOA).

Important:

The University does not engage external agencies for student recruitment. Candidates should apply directly to the University and not through any agents. Applications submitted through agents will not receive any added advantage and the University reserves the right to reject such application without explanation.
Only online applications are accepted.
Before submitting your application:
Click here to apply online
To be eligible for enrolment, applicants must meet the following requirements. However, please note that selection of candidates is based on a competitive basis and meeting the minimum requirements does not guarantee admission into the programme.

Minimum Requirements:

  • Fresh graduates with an M.B.,B.S. degree, or a Bachelor (Hons) degree in Quantitative Sciences (e.g., Mathematics, Applied Mathematics, Statistics, Physics), Engineering, Computer Science, Business, or a related Health Sciences discipline. Other qualifications and relevant experience may be considered on a case-by-case basis,subject to approval by the selection committee.
  • International applicants from non-English speaking universities must demonstrate English proficiency with a minimum TOEFL score of 85 (Internet-based) or a minimum IELTS Academic score of 6.0. Scores must be valid for two years from the test date and should not have expired at the time of application. Expired scores will not be considered.

Tuition Fees:

Total Tuition Fees (for students enrolled in the Academic Year 2024/2025 only): S$67,362 (inclusive of Goods & Services Tax (GST))

The payment schedule is as follows:

Full Time Students
NUS Alumni Students
International Students
Year 1 Semester 1
S$18,708.60
S$24,944.80
S$31,181.00
Year 1 Semester 2
S$18,708.60
S$24,944.80
S$31,181.00
Year 2 Semester 1
–

–

–

Year 2 Semester 2

–

–

–

Acceptance Fee (Including GST):

S$5,000
Additional Fee:
In addition to tuition fees, students will be charged miscellaneous student fees each semester.
Miscellaneous student fees help meet costs incurred by the University in providing services to the student community that are either not covered or only partially covered by the tuition fees. These services include healthcare for students; facilitating student cultural, social and recreational programmes; and maintaining the shuttle bus service, IT network and other essential campus infrastructure and services.

For more information, please visit the Office of the University Registrar website.

Note:
  • All Singaporeans and Singapore PRs will receive a 40% tuition fee rebate.
  • All NUS alumni will receive a 20% tuition fee rebate.
  • Upon acceptance of offer, an acceptance fee of S$5000.00 (including GST) will be charged on the Graduate Admission System (GDA). Acceptance fees is non-refundable, non-transferable and will be credited towards the tuition fee once the programme starts.
The MSc PHM is available as a 1-year full-time programme, a 2-year full-time programme with a capstone project, or a 4-year flexible part-time degree.

Graduation Requirements
Total Units Required: 40 Units

To graduate, students have to:

Master of Science in Precision Health & Medicine

Complete 6 core courses (4 units each, 28 units in total), and
Choose and complete 4 elective courses (4 units each, 12 units in all) from the list.

Master of Science in Precision Health & Medicine with Capstone

Complete 6 core courses (4 units each, 28 units in total), and
Choose and complete 2 elective courses (4 units each, 6 units in all) from the list.
Choose and Complete 1 Capstone Project from Academic or Industry Project

Master of Science in Precision Health & Medicine (Flexible)
Complete 6 core courses (4 units each, 28 units in total), and Choose and complete 4 elective courses (4 units each, 12 units in all) as Executive Cerificates and Graduate Cerificates
View the full list of courses

Relevant Certification Programmes

A portion of our MSc programme can be taken as Executive Certificates (EC) and Graduate Certificates (GC), allowing you to acquire knowledge and skills pertinent to a specific topic in Precision Health and Medicine.

When you enroll for your MSc programme, there is potential for the relevant ECs and GCs that you’ve completed with a minimum CAP of 3.5 to be transferred towards your MSc requirements within 5 years. Each of our GCs consist of 2 courses, and all courses listed in the respective GCs can also be taken individually as ECs.

Graduate Certificate in Big Data Analytics in Precision Medicine (8 Units)
  • Executive Certificate in Applied Statistics for Precision Medicine
  • Executive Certificate in High Performance Computing for Precision Medicine
Graduate Certificate in Fundamentals of Precision Medicine (8 Units)
  • Executive Certificate in Human Genomics in Precision Medicine
  • Executive Certificate in Preteomics and Metabolomics in Precision Health and Medicine
Graduate Certificates in Innovation Precision Medicine (8 Units)
  • Executive Certificate in Causal Inference in Precision Medicine
  • Executive Certificate in Technological Innovation in Precision Medicine
Graduate Certificate in Precision Biomarker Identification and Diagnosis/Prognosis (8 Units)
  • Executive Certificate in Precision Biomarkers
  • Executive Certificate in Precision Diagnostics
Graduate Certificate in Drug Discovery, Pharmacogenomics and Therapeutics (8 Units)
  • Executive Certificate in Precision Drug Discovery and Development
  • Executive Certificate in Precision Diagnostics
Graduate Certificate in Clinical Precision Medicine (8 Units)
  • Executive Certificate in Clinical Perspective in Precision Medicine
  • Executive Certificate in Precision Oncology

Please refer HERE for the proposed study plan for full-time and part-time students.

  • Full-time students are expected to complete the programme within 12 – 24 months. The maximum candidature is 24 months; excluding Leave of Absence (LOA).
  • Part-time students are expected to complete the programme within 24 – 36 months. The maximum candidature is 36 months; excluding Leave of Absence (LOA).

Important:

The University does not engage external agencies for student recruitment. Candidates should apply directly to the University and not through any agents. Applications submitted through agents will not receive any added advantage and the University reserves the right to reject such application without explanation.
Only online applications are accepted.
Before submitting your application:
Click here to apply online
To be eligible for enrolment, applicants must meet the following requirements. However, please note that selection of candidates is based on a competitive basis and meeting the minimum requirements does not guarantee admission into the programme.

Minimum Requirements:

  • Fresh graduates with an M.B.,B.S. degree, or a Bachelor (Hons) degree in Quantitative Sciences (e.g., Mathematics, Applied Mathematics, Statistics, Physics), Engineering, Computer Science, Business, or a related Health Sciences discipline. Other qualifications and relevant experience may be considered on a case-by-case basis,subject to approval by the selection committee.
  • International applicants from non-English speaking universities must demonstrate English proficiency with a minimum TOEFL score of 85 (Internet-based) or a minimum IELTS Academic score of 6.0. Scores must be valid for two years from the test date and should not have expired at the time of application. Expired scores will not be considered.

Tuition Fees:

Total Tuition Fees (for students enrolled in the Academic Year 2024/2025 only): S$67,362 (inclusive of Goods & Services Tax (GST))

The payment schedule is as follows:

Year 1 Semester 1

Full Time Students

S$18,708.60
NUS Alumni Students
S$24944.80
International Students

S$31,181.00

Year 1 Semester 2

Full Time Students

S$18,708.60

NUS Alumni Students
S$24,944.80
International Students
S$31,181.00

Year 2 Semester 1

Full Time Students

–
NUS Alumni Students

–

International Students
–

Year 2 Semester 2

Full Time Students

–
NUS Alumni Students

–

International Students
–

Acceptance Fee (Including GST):

S$5,000
Additional Fee:
In addition to tuition fees, students will be charged miscellaneous student fees each semester.
Miscellaneous student fees help meet costs incurred by the University in providing services to the student community that are either not covered or only partially covered by the tuition fees. These services include healthcare for students; facilitating student cultural, social and recreational programmes; and maintaining the shuttle bus service, IT network and other essential campus infrastructure and services.

For more information, please visit the Office of the University Registrar website.

Note:
  • All Singaporeans and Singapore PRs will receive a 40% tuition fee rebate.
  • All NUS alumni will receive a 20% tuition fee rebate.
  • Upon acceptance of offer, an acceptance fee of S$5000.00 (including GST) will be charged on the Graduate Admission System (GDA). Acceptance fees is non-refundable, non-transferable and will be credited towards the tuition fee once the programme starts.

Frequently Asked Questions

Our course committee is constantly reviewing applications on a rolling basis. Hence, you may receive the result of your application at any time during the application window, or after the application window closes.
You will receive the Offer of Admission via the email you entered into the Graduate Admission System during your application.
For applicants who are not applying for scholarship, your application will be reviewed without the referee’s report.
For applicants who are applying for scholarship, you are required to provide referees for our review of your scholarship application.
The results of your scholarship application will be released at a later date, after accepting the Offer of Admission.
All submitted documents should be in English or be translated into English. Documents not in English must be accompanied with certified copies of the English-translated version.
Yes, the Master’s Programme is currently offered as a part-time degree. Depending on how many Courses a student takes, it is possible for part-time students to complete our Programme within 1 – 3 years, and the maximum duration for part-time students would be 4 years.
You may change your candidature from a one-year course (without capstone) to a two-year course (with capstone), or vice versa at any time during the first semester.
If you are under scholarship, you will be unable to change your candidature after enrolling into the Master’s Programme.

Please contact us at mscphm@nus.edu.sg if you would like to inquire about a change in candidature.

Orientation for the semester is traditionally held in the weeks before the start of the semester. More information will be provided via email to accepted students at a later date.
Please refer to the programme website under the “Curriculum” tabs for the list of courses.
Your course timetables will be released after you have successfully registered for the courses.
Yes, applicants who are unsuccessful in their application in the previous intake can submit a new online application with all the relevant and updated supporting documents uploaded, if they are interested to be considered for the programme again in the next intake.

If you are unable to find the answer to your query in the list of FAQs, you can email us at mscphm@nus.edu.sg and we will reply to you within 3 working days.

Want to explore more of what we offer?

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    A/Prof Caroline Lee

    Vice Dean, NUS Graduate School, NUS Yong Loo Lin School of Medicine
    Assoc Prof, Dept of Biochemistry, NUS Yong Loo Lin School of Medicine

    Prof Caroline Lee graduated with PhD from Baylor College of Medicine and did her post-doctoral training with Dr. Michael Gottesman at the National Cancer Institute, National Institutes of Health. She has ~100 peer reviewed publications focused on the functional genomics of hepatocellular carcinoma (HCC) and pharmacogenetics.
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    A/Prof Kenneth Ban

    Programme Director, National Supercomputing Cluster Singapore (NSCC)
    Assoc Prof, Dept of Biochemistry, NUS Yong Loo Lin School of Medicine

    Prof Kenneth Ban graduated from NUS Yong Loo Lin School of Medicine and completed his PhD in Stanford University, As a medical educator and Phase I Director at the Yong Loo Lin School of Medicine, Kenneth is leading the development of a Health Informatics track aiming to build foundational competencies in data science for medical students.

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    Aaron Chua

    Principal Lecturer and Consultant
    Digital Strategy & Leadership Practice
    NUS-ISS

    His research interests comprise health-related quality-of-life studies, clinical trials, and modelling transmission of infectious disease. He has also worked with projects in various therapeutic areas including oncology, stroke, ophthalmology and orthopaedics.
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    A/Prof Jason Yap

    Associate Professor
    NUS Saw Swee Hock School of Public Health

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    A/Prof Seth Gilbert

    Dean’s Chair Associate Professor
    Head, Department of Computer Science
    NUS School of Computing

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    A/Prof Ngiam Kee Yuan

    Head, AI Office, National University Health System
    Head & Senior Consultant, Division of General Surgery (Endocrine & Thyroid Surgery), Department of Surgery, National University Hospital
    Professor, Department of Surgery, NUS Yong Loo Lin School of Medicine
    Senior Consultant, Division of Surgical Oncology, NCIS

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    Dr Aoife Keohane

    • Programme Director, MSc in Behavioural and Implementation Sciences
    in Health (MSc BIS)
    • Senior Lecturer, Centre for Behavioural and Implementation
    Science Interventions (BISI) NUS Yong Loo Lin School of Medicine

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    Prof Nick Sevdalis

    • Academic Director, Centre for Behavioural and Implementation Science Interventions (BISI)
    • Visiting Professor, Department of Psychological Medicine, NUS Yong Loo Lin School of Medicine
    • Academic Director (Joint), Quality Improvement & Implementation Science Clinical Academic Group, King's Health Partners, London, UK

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    Dr Volker Patzel

    Biomedical Innovation & Enterprise Course Coordinator
    Senior Lecturer, Dept of Microbiology & Immunology, NUS Yong Loo Lin School of Medicine

    Dr Volker Patzel is a Senior Lecturer at NUS Yong Loo Lin School of Medicine and holds a PhD from the Ruprecht Karls University in Heidelberg. With more than 20 years of teaching experience, he coordinates six modules at NUS Yong Loo Lin School of Medicine and leads research on RNA technologies for therapeutic and diagnostic applications. Dr Patzel has published over 50 papers, filed 15 patent families, and founded AVECRIS Pte Ltd in Singapore.

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    A/Prof Gautam Sethi

    Drug Discovery and Development Specialisation Coordinator
    Capstone Project Co-Coordinator
    Associate Professor, Dept of Pharmacology, NUS Yong Loo Lin School of Medicine

    A/Prof Gautam Sethi is a tenured Associate Professor at NUS Yong Loo Lin School of Medicine, focusing on oncogenic transcription factor activation and cancer therapy. His work has led to over 400 scientific publications in high-impact journals. A/Prof Sethi is an editorial board member for numerous international journals and has been recognized as one of the world’s most highly cited researchers in 2020 and 2021 by Clarivate.

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    Dr Sham Lok-To (Chris)

    Capstone Project Coordinator
    Assistant Professor, Dept of Microbiology & Immunology, NUS Yong Loo Lin School of Medicine

    Dr Chris Sham is an Assistant Professor at the Department of Microbiology & Immunology, NUS Yong Loo Lin School of Medicine, where he teaches multiple microbiology-related courses, including Microbiology and Infection and Immunity He also serves as the Undergraduate Research Opportunities Programme coordinator and the Deputy Research Director of the Infectious Diseases Translational Research Programme. His research focuses on bacterial cell envelope synthesis, and in 2019, he received the prestigious National Research Foundation Fellowship.

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    Dr Png Chin Wen

    Vaccinology and Immunotherapy Specialisation Coordinator
    Lecturer, Dept of Microbiology & Immunology, NUS Yong Loo Lin School of Medicine

    Dr Png Chin Wen earned his PhD from the University of Queensland and is a Lecturer at NUS Yong Loo Lin School of Medicine, where he teaches topics such as immunology, cellular signaling, and vaccine development. His research focuses on gut microbiome and mucosal inflammation related to gastrointestinal cancers. Dr Png collaborates with clinicians to explore the role of gut bacteria in disease progression and serves as course coordinator for the MSc in Applied Biomedicine’s Vaccinology and Immunotherapy specialisation.

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    Dr Jaishree Tripathi

    Infectious Diseases Management Specialisation Coordinator
    Lecturer, Dept of Microbiology & Immunology, NUS Yong Loo Lin School of Medicine

    Dr Jaishree Tripathi is a Lecturer at the Yong Loo Lin School of Medicine, where she leads the Infectious Diseases Management track for the MSc in Applied Biomedicine programme. She has over 11 years of research experience in malaria parasite biology, including drug resistance and host-parasite interactions. Dr Tripathi holds a PhD in Biological Sciences from the University of Cambridge and has made significant contributions to malaria research using stem-cell-based models and single-cell transcriptomics.
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    A/Prof Zhang Yongliang

    Co-Programme Director, MSc in Applied Biomedicine (ABM)
    Associate Professor, Dept of Microbiology & Immunology, NUS Yong Loo Lin School of Medicine

    A/Prof Zhang Yongliang is a tenured Associate Professor and Deputy Research Director of the Translational Immunology Programme at NUS Yong Loo Lin School of Medicine. With over 15 years of teaching experience, he has created several programmes focused on infection and cancer. A/Prof Zhang’s contributions to immunology research have earned him recognition, including the Graduate Mentor of the Year award in 2019.

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    A/Prof Kevin Tan Shyong Wei

    Programme Director, MSc in Applied Biomedicine (ABM)
    Associate Professor and Head, Dept of Microbiology & Immunology, NUS Yong Loo Lin School of Medicine

    A/Prof Kevin Tan is the Head of the Department of Microbiology & Immunology at NUS and Vice-Dean (Graduate Studies) at the Yong Loo Lin School of Medicine. He has 20 years of teaching experience and played a key role in developing the world’s first online course on the biomedical aspects of COVID-19. A/Prof Tan has received numerous teaching awards, including the Faculty Teaching Excellence Award and Graduate Mentor of the Year.
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    Dr Lee Chun Fan

    Assistant Professor, Centre for Quantitative Medicine, Duke-NUS Medical School

    Dr Lee Chun Fan is an assistant professor at the Centre for Quantitative Medicine at the Duke-NUS Medical School. Prior to this, he was also affiliated with the Division of Epidemiology and Biostatistics in the School of Public Health at The University of Hong Kong and the Singapore Clinical Research Institute.
    His research interests comprise health-related quality-of-life studies, clinical trials, and modelling transmission of infectious disease. He has also worked with projects in various therapeutic areas including oncology, stroke, ophthalmology and orthopaedics.
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    Dr Cindy Lin Xinyi

    Assistant Professor, Centre for Quantitative Medicine, Duke-NUS Medical School

    Dr. Xinyi (Cindy) Lin is an Assistant Professor at the Centre for Quantitative Medicine, Duke- NUS Medical School. She serves as the course coordinator for two modular courses in in the MCI programme: MCI5001 (Design and Planning of Clinical Studies) and MCI5006 (Design and Planning of Epidemiological Studies). Dr. Lin has extensive experience utilising advanced statistical methods in clinical research studies and genetic epidemiology investigations. She has taught biostatistics coursework to a diverse audience, including PhD students and clinical researchers.
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    Mihir Gandhi

    Assistant Professor, Centre for Quantitative Medicine, Duke-NUS Medical School

    Mihir Gandhi is an Assistant Professor in the Signature Program in Health Services & Systems Research, Lien Centre for Palliative Care, as well as the Head of Biostatistics Core team at the Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore. He is also affiliated with the Singapore Clinical Research Institute, Singapore as the Head of Biostatistics Department and the Global Health Group at the Center for Child Health Research, Tampere University, Finland as a Visiting Researcher.
    He is primarily working on planning, analysis and reporting of clinical trials. He has experience in wide range of therapeutic areas such as oncology, paediatrics, and hypertension for drug and health services interventional trials. In addition to clinical trials, he has research interest in applied statistics, health-related quality of life, quality of healthcare and health state valuation.
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    A/Prof Edwin Chan

    Associate Professor, Centre for Quantitative Medicine
    Office of Clinical Sciences, Duke-NUS Medical School

    A/Prof Chan is a clinical epidemiologist with over twenty years of experience in clinical research and evidence synthesis as the Chief Scientific Officer of the Singapore Clinical Research Institute (SCRI). He has been the Director of Cochrane Singapore since its establishment and is currently the Senior Scientific Advisor to SCRI. He teaches research literature critical appraisal skills and mentors students in clinical research (MCI programme, NUS). He has taught many research methodology courses on clinical trials, biostatistics, epidemiology, clinical practice guidelines (CPG) development, meta-analysis & evidence- based medicine (EBM). His interests are in the teaching of critical appraisal skills, epidemiology, health technology assessment and evidence synthesis.
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    Prof Cheung Yin Bun

    Professor, Centre for Quantitative Medicine
    Deputy Director, Centre for Quantitative Medicine, Duke-NUS Medical School

    CHEUNG Yin Bun is Professor at Duke-NUS Medical School, Singapore, and Adjunct Professor at Tampere University, Finland. Prior to joining Duke-NUS, he was a Senior Lecturer at the London School of Hygiene & Tropical Medicine and Chief Scientific Officer at the Singapore Clinical Research Institute.
    He received his degrees in social science, medical demography, statistics and paediatric epidemiology from institutions in Hong Kong, Singapore, and the United Kingdom. He has broad interest in the studies of global child health, statistical methodology, and quality of life in palliative care setting. He has been the principal investigator of multiple research grants on statistical methodology and quality of life research. He is the author of Statistical Analysis of Human Growth and Development (CRC Press, 2014) and co-author of Survival Analysis: A Practical Approach (Wiley, 2006). He is the developer of the Singapore Caregiver Quality of Life Scale.
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    Makoto Yawata,M.D., Ph.D.

    Programme Director and Clinical-Scientist Mentor
    Research Assistant Professor
    Department of Pediatrics, NUS Yong Loo Lin School of Medicine Principal Investigator, Immunology Programme, Life Sciences Institute, National University of Singapore Principal Investigator, NUSMED Immunology Translational Research Programme, National University of Singapore

    Makoto YAWATA is the Director of the MCI Programme, where he also serves as a clinician-scientist mentor guiding the students in designing and planning their clinical studies and as coordinator of the MCI wet lab experiential research workshop. He is affiliated with the Department of Paediatrics at the NUS Yong Loo Lin School of Medicine and a Principal Investigator in the Immunology Programme in the NUS Life Sciences Institute and the NUS Medicine Immunology Translational Research Programme. His clinical background is autoimmune diseases; however the research he conducted as postdoctoral fellow in the Department of Structural Biology in Stanford University School of Medicine has led him to become more involved in hematology and transplantation. His laboratory has been investigating the mechanisms of human natural killer cell responses against particular types of virus infections and cancer, and also in transplantation immunology.

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