Welcome!
The world is one big data problem - Andrew McAfee
About me
From a medical graduate to a quantitative researcher
I did my PhD in the field of public health epidemiology in Universiti Sains Malaysia. During my PhD, I explored the potential application of machine learning and deep learning in the screening and diagnosis of breast cancer among Asian women population.
I did my degree in medicine. However, I believed that working as a doctor in a clinical setting is not for me. Thus, I continued my master study in medical statistics. Data and analysis has sparked my interest since then. I believes that coming from medical background, give me an edge to see data in a new perspective.
As of now, I am working with Jom Research to provides easily accessible webinars centered around research and statistical analysis at a reasonable price point. Do check out our webinars!
Download my resumé.
Interests
- Medical statistics; survival analysis, poisson regression, meta-analysis
- Machine learning and deep learning in medical sciences
- Text analysis, bibliometrics, sciencetometrics
- Use of R and Python in medical sciences
Education
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PhD in Public Health Epidemiology, 2020-2024
Universiti Sains Malaysia
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MSc in Medical Statistics, 2017-2019
Universiti Sains Malaysia
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MBBCh in Medicine, 2008-2015
Al-Azhar University
Experience
Founder and Lead Academic Trainer
Jom Research
Responsibilities include:
- Develops modules and materials for workshops
- Conducts workshops virtually
- Manages preparations for incoming workshops including poster design, workshop promotion, and administration tasks
Graduate Research Assistant
Universiti Sains Malaysia
Responsibilities include:
- Project financial management
- Project documentation
- Data collection, analysis and publication
Online Map Quality Analyst
Lionbridge
Analyze data mainly from online maps and search results:
- Correcting errors in maps and search results
- Perform market research
Freelance Writer
MIMS Pte Ltd
Responsibilities include :
- Research medical-related topics
- Generate ideas for new content
- Prepare well-structured drafts
Books
Missing data: A practical guide on handling it with R
Recent Publications
Projects
Ongoing & completed
ShinyBC: breast cancer risk estimator
See ShinyBC dashboard
Situation analysis and modelling of COVID-19 cases in Malaysia
Talks and presentations
Webinar - Machine learning with R
Talk - Exploring the COVID-19 Research Landscape in Malaysia: A Bibliometric Case Study
Workshop - Machine learning application in epidemiological research
Workshop - Bibliometric analysis and systematic review using R
