Welcome!

The world is one big data problem - Andrew McAfee

Tengku Muhammad Hanis

Tengku Muhammad Hanis

Lead academic trainer

at Jom Research

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

  • PhD in Public Health Epidemiology, 2020-2024

    Universiti Sains Malaysia

  • MSc in Medical Statistics, 2017-2019

    Universiti Sains Malaysia

  • MBBCh in Medicine, 2008-2015

    Al-Azhar University

Experience

 
 
 
 
 

Founder and Lead Academic Trainer

Jom Research

Aug 2023 – Present Terengganu, Malaysia

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

Nov 2019 – Feb 2023 Kelantan, Malaysia

Responsibilities include:

  • Project financial management
  • Project documentation
  • Data collection, analysis and publication
 
 
 
 
 

Online Map Quality Analyst

Lionbridge

Jul 2017 – Oct 2021 Remote

Analyze data mainly from online maps and search results:

  • Correcting errors in maps and search results
  • Perform market research
 
 
 
 
 

Freelance Writer

MIMS Pte Ltd

May 2016 – Aug 2017 Remote

Responsibilities include :

  • Research medical-related topics
  • Generate ideas for new content
  • Prepare well-structured drafts

Books

R Essentials: A Beginner's Guide to Data Analysis

The book is still a work in progress, but an early draft is available for free on the author’s GitHub page.
Oct 29, 2024
R Essentials: A Beginner's Guide to Data Analysis

Data analysis in medicine and Health using R

The online version of this book is available for free at Bookdown website. The printed version of the book is available for purchase at Routledge website.
Sep 16, 2023
Data analysis in medicine and Health using R

Recent Publications

Filter relevant publications - click here.
Prognostic factors for premature cardiovascular disease mortality in Malaysia: a modelling approach using semi-parametric and parametric survival analysis with national health and morbidity survey linked mortality data
Wan Shakira Rodzlan Hasani, Kamarul Imran Musa, Mohd Azahadi Omar, Tengku Muhammad Hanis, Yee Cheng Kueh, Shubash Shander Ganapathy, Muhammad Fadhli Mohd Yusoff, Noor Ani Ahmad
PDF Source Document
The global estimate of premature cardiovascular mortality: a systematic review and meta-analysis of age-standardized mortality rate
Wan Shakira Rodzlan Hasani, Nor Asiah Muhamad, Tengku Muhammad Hanis, Nur Hasnah Maamor, Xin Wee Chen, Mohd Azahadi Omar, Yee Cheng Kueh, Zulkarnain Abd Karim, Muhammad Radzi Abu Hassan, Kamarul Imran Musa
PDF Source Document
Developing a Supplementary Diagnostic Tool for Breast Cancer Risk Estimation Using Ensemble Transfer Learning
Tengku Muhammad Hanis, Nur Intan Raihana Ruhaiyem, Wan Nor Arifin, Juhara Haron, Wan Faiziah Wan Abdul Rahman, Rosni Abdullah, Kamarul Imran Musa
Preprint PDF Source Document
Premature mortality and years of potential life lost from cardiovascular diseases: Protocol of a systematic review and meta-analysis
Wan Shakira Rodzlan Hasani, Nor Asiah Muhamad, Nur Hasnah Maamor, Tengku Muhammad Hanis, Chen Xin Wee, Muhammad Radzi Abu Hassan, Zulkarnain Abdul Karim, Kamarul Imran Musa
PDF Source Document
The burden of premature mortality from cardiovascular diseases: A systematic review of years of life lost
Wan Shakira Rodzlan Hasani, Nor Asiah Muhamad, Tengku Muhammad Hanis, Nur Hasnah Maamor, Chen Xin Wee, Mohd Azahadi Omar, Shubash Shander Ganapathy, Zulkarnain Abdul Karim, Kamarul Imran Musa
Preprint PDF Source Document
See all publications

Projects

Ongoing & completed

ShinyBC: breast cancer risk estimator

Web App Jan 2021 – Jan 2023
Status: Completed
See ShinyBC dashboard

Situation analysis and modelling of COVID-19 cases in Malaysia

Part of epidemiology and statistical modelling team, USM Mar 2020 – Jun 2023
Status: Completed

Talks and presentations

Talk - Exploring the COVID-19 Research Landscape in Malaysia: A Bibliometric Case Study

This talk was part of Malaysia R confeRence 2024 organised by Malaysia R User Group (MyRUG).
Oct 27, 2024 11:30 AM — 12:00 PM Dewan Kualiah 4, School of Medical Sciences, Universiti Sains Malaysia
Slides
Talk - Exploring the COVID-19 Research Landscape in Malaysia: A Bibliometric Case Study

Workshop - Machine learning application in epidemiological research

This workshop was organised by Unit Biomedikal Epidemiologi, Pusat Sumber Khas (SRC), Institut Penyelidikan Perubatan (IMR).
Oct 22, 2024 8:30 AM — Oct 23, 2024 5:00 PM Makmal Komputer 3 ( D2-L5-20 ) , Aras 5, Blok D2, NIH, Setia Alam
Workshop - Machine learning application in epidemiological research

Workshop - Bibliometric analysis and systematic review using R

This workshop was organised by Persatuan Anggota Kesihatan Kelantan (PEAKK), Malaysian Disease Modelling Experts Group & Department of Community Medicine, USM.
Aug 15, 2024 8:30 AM — 5:00 PM Bilik Tutorial B, School of Medical Sciences, Universiti Sains Malaysia
Workshop - Bibliometric analysis and systematic review using R

Webinar - Basics of meta-analysis

This webinar was organised by Jom Research. The slides and recording of the webinar is available for purchase at Jom Research website.
Jun 29, 2024 9:30 AM — 4:30 PM Virtual (Google Meet)
Webinar - Basics of meta-analysis

Workshop - Machine learning in medical research

This webinar was organised by Biostatistics and Research Methodology Unit, USM.
May 16, 2024 9:00 AM — 4:30 PM Virtual (Webex)
Workshop - Machine learning in medical research
See all talks

Recent Posts

Basic plotting with Matplotlib and Seaborn

This post is continuation of my previous post about Python. For those interested: Basic data wrangling with Python Basic plotting with matplotlib and seaborn Comparison of ggplot in R versus in Python There are several packages or libraries available in Python for plotting and visualization.
Last updated on Aug 7, 2024 3 min read Python, Visualisation

Basic data wrangling with Python

Python is one of the most popular programming language and software. In this post, I will demonstrate how to do a basic data wrangling with Python. This is going to be one of the several series of post related to Python (hopefully).
Last updated on Jul 18, 2024 7 min read Python, Data

What makes data "good enough" for a statistical analysis?

A few days earlier, someone asked me to help her with the data analysis. However, the data that she gave me was so bad that it was completely impossible to run the analysis unless a serious data cleaning was done first.
Last updated on Feb 29, 2024 3 min read Data, General
See all posts

Popular Topics

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