Newcastle University Medicine Malaysia

Staff Profile

Dr Daniel Smith

Lecturer (Non-Clinical)

Background

Introduction

I am a quantitative life scientist predominantly interested in fitting statistical models to data and design of experiments. After completing my university education in the UK (BSc, Lancaster; MSc, Nottingham; PhD, Leicester), I was Assistant Professor at The University of Nottingham Malaysia Campus before returning to the UK as Research Fellow (Leeds) and then Teaching Fellow (Nottingham). I was appointed Lecturer at Newcastle University Medicine Malaysia (NUMed) in August 2015 and became Senior Lecturer in January 2020. I am involved in teaching statistical methods to Foundation, Biomedical Science and Medical students as well as being actively involved in research. I run external courses on statistics / statistical programming for biomedical and life scientists in Malaysia and have many years experience using the R Environment for Statistical Computing.

Qualifications

2016: PG Cert. - Medical Education (Distinction) - Newcastle University, UK

2010: PhD - University of Leicester, UK

2005: MSc - Biosciences - University of Nottingham, UK

2003: BSc (Hons.) - Biological Sciences - Lancaster University

Previous Employment

2012 - 2015: Teaching Fellow - University of Nottingham, UK

2012: Research Fellow - University of Leeds, UK

2009-2011: Assistant Professor, University of Nottingham, Malaysia

Research

I am predominantly interested in fitting statistical models to biological data, and design of experiments. Since my appointment at NUMed, my research has covered a wide range of topics, such as oral cancer, autonomic dysfunction and chronic fatigue, dementia, the effect of stress on learning approaches of medical students and a meta-analysis of the effect of H. pylori on Inflammatory bowel disease. My latest work has led to the development of The “Newcastle Nomogram”, which can be used to predict the probability of malignant transformation in patients with oral potentially malignant disorders (PMD). Based on an internally validated statistical model, the Newcastle Nomogram provides clinicians with a pragmatic diagrammatic aid for clinical decisionmaking during diagnosis and management of PMD, using readily available patientspecific clinicopathological data. I was also have many years’ experience using R programming for statistical computing, which I use for all my research projects and for which I also run training workshops.


Teaching

Biomedical Sciences (BMS)

BMN2 Introduction to Databases

BMN1008 Practical Skills in Biomedical and Biomolecular Sciences 2, Strand A: Computing

BMN2005 Practical Skills in Biomedical and Bimolecular Sciences 3, Strand D: Statistics

BMN2013 Practical and Presentational Skills in Biomedical Sciences

Bachelor of Medicine and Bachelor of Surgery (MBBS)

PDS Patients, Doctors and Society

Foundation in Science

N1516-BBF0005. Foundation Mathematics and Statistics: Statistics Strand


Publications