Prof. Dr. Jamalludin Ab Rahman
International Islamic University Malaysia
Prof. Jamalludin Ab Rahman is a medical doctor who graduated from Universiti Kebangsaan Malaysia in 1995. He obtained his four years Master of Public Health specialist programme, subspecializing in Epidemiology and Biostatistics in 2002 with a thesis entitled “Survival analysis of tuberculosis patients in Terengganu”. He was the consultant in Research Methodology and Biostatistics Clinic at Clinical Research Centre, Hospital Kuala Lumpur from 2008-2010. He was actively involved in many national-based surveys in the country which includes National Health and Morbidity Survey (NHMS) 2006 and 2011; National Oral Health Survey for Adults (NOHSA) 2010, National Oral Health Survey for Pre-school Children (NOHPS) 2015 and National E-cigarettes Survey (NECS) in 2016. He was conferred a fellowship by Malaysian Public Health Physician Association in 2017. He published a book entitled Brief Guidelines for Methods and Statistics in Medical Research in 2015, and a chapter entitled Quantitative Methods in Global Health Research in Handbook of Global Health Research in 2020. He had published more than 90 papers with more than 700 citations. Currently he is a member of COVID-19 Epidemiological Analysis and Strategies (CEASe) Task Force under MOSTI. He was exposed to SPSS as early as 1995, Stata in 2000 and R in 2006. He is also a certified SAS Programmer. Been conducting workshops on Biostatistics and Research Methodology since 1996. He is now the Dean in Kulliyyah of Medicine, IIUM.
Assoc. Prof. Dr. Kamarul Imran Musa
Universiti Sains Malaysia
Dr. Kamarul Imran Musa is a medical epidemiologist and biostatistician at Universiti Sains Malaysia. He obtained PhD (Epidemiology and Statistics) from Lancaster University, UK and after coming back to Malaysia, he introduced R in the academic syllabus. He runs regular R workshops locally and has attended multiple R workshops in the Europe.
Prof. Dianne Cook
Monash University, Australia
Prof. Dianne Cook is Professor of Business Analytics at Monash University in Melbourne, Australia. Her research is in the area of data visualisation, especially the visualisation of high-dimensional data using tours with low-dimensional projections, and projection pursuit. A current focus is on bridging the gap between exploratory graphics and statistical inference. Technology plays an important role in data visualisation for evaluating effectiveness and for public consumption. Di utilises technology such as virtual environments, Amazon’s Mechanical Turk, and eye-tracking in her work, and makes an effort to share her work with open source software. Di is a Fellow of the American Statistical Association, elected member of the International Statistical Institute, past-editor of the Journal of Computational and Graphical Statistics, elected Member of the R Foundation, and current editor of the R Journal. Education is an important part of her contributions, and mentoring graduate research is a significant activity. Several of her students have won the prestigious American Statistical Association John Chambers Software Award, including Hadley Wickham, Yihui Xie, Carson Sievert, and most recently, Monash student Earo Wang.
Dr. Poo Kuan Hoong
With 15 years of academic and research experience, Dr Poo is a passionate practitioner in the area of Data Science, Machine Learning and Artificial Intelligence. A graduate of Nagoya Institute of Technology (Japan), Dr. Poo holds a Doctorate degree (Ph.D.) in Computer Science, a Master of Information Technology (UKM), and a Bachelor of Science (UKM). Dr Poo founded Coqnitics Sdn Bhd, an AI company focusing in providing image and video analytics. He is currently working as Lead Data Scientist where he applies his combination of research and industrial experience in Big Data Analytics, Data Mining, Machine Learning and Artificial Intelligence to provide innovative solutions. Besides that Dr Poo founded two communities in Malaysia: Malaysia R User Group and TensorFlow & Deep Learning Malaysia User Group.
Dr. Gan Chew Peng
Dr Gan Chew Peng joined Sunway University in 2012. She holds a Doctor of Philosophy in Business from Sunway University, a Postgraduate Certificate in Academic Practice from Lancaster University, a Master of Science in Statistics and an honours degree in Bachelor of Science (Statistics) from University of Malaya. Her research interest focuses on credit risk modelling. She is currently pursuing an additional certificate from the SAS Institute to become a SAS Certified Data Scientist. She was the teacher advisor for Sunway University Chinese Cultural Society (SUCCS) from 2014 to 2019.
Ts. Dr. Yu Yong Poh
Dr. Yu Yong Poh is one of the committee members of Malaysia R User Group. He received B.Eng. and PhD degrees from University of Malaya in 2008 and 2016. His main research areas are signal and image processing, data science and machine learning. He has published a number of peer-reviewed articles including ISI-ranked journal papers and international conference papers. On the other hand, he is also involved in a number of industry projects. Currently, his industry projects include digital marketing, sentimental analytics, signal processing and Internet-of-Things (IoT) applications.
Tengku Muhammad Hanis Bin Tengku Mokhtar
Universiti Sains Malaysia
Tengku Muhammad Hanis is a second-year PhD student at the Department of Community Medicine, USM, while concurrently working as a graduate research assistant in USM. Hanis completed his master in medical statistics in 2019. Currently, he is working on the application of statistical modelling and machine learning on cancer data for his PhD. He mainly uses R and loves to explore the wide potential of R, especially in data analytics and medical sciences research.
Dr. Calyn Tan Jen Ai
Ministry of Health (Malaysia)
Dr Calyn Tan Jen Ai is a medical doctor by profession, specializing in public health, with 11 years of working experience in the public healthcare system. She holds a Doctor of Public Health (DrPH), Master of Public Health (MPH) and Bachelor of Medicine and Bachelor of Surgery (MBBS); all from University of Malaya. Through her current job role with Health Performance Unit, National Institutes of Health (NIH), Ministry of Health, Malaysia, she has led key projects related to Big Data Analytics and the development of Health System Performance Dashboard (HSPD), both through vendor-based solutions and in-house development. She is also a passionate health advocate who likes to think out-of -the-box and enjoys learning from experiences of people from different walks of life.
Dr. Mohd Kamarulariffin Kamarudin
University of Malaya
Dr Mohd Kamarulariffin is a medical doctor by profession with a keen interest in research methodology, health informatics, statistics, machine learning applications in healthcare, and big data. He has adopted many roles as a business analyst, data analyst and health informatician with previous experience in multiple healthcare-related informatics projects. Currently, he is working on a PhD thesis in the University of Malaya with a topic related to predictive modelling and machine learning application in healthcare big data. He has been an avid R user since 2015 and has applied his R analytical skill to real-world health and clinical data.
Ahmed Arup Kamal
Swiss Biotech Company
Arup is an analytics veteran and R aficionado. For the last 16 years he is working in top Fortune500 companies in various industries including biotech, oil & gas and consumer goods. He is currently working as a Information Architect of a Swiss Biotech company. Arup specializes in data & information architecture, enterprise analytics and reporting.
Dr. Priyalatha Govindasamy
Sultan Idris Education University
Dr. Priyalatha is currently a Lecturer at Department of Psychology, Sultan Idris Education University, Malaysia. She completed her degree in Counseling, in year 2007 from Universiti Malaysia Sarawak (University of Malaysia, Sarawak). She did her MA by research in Psychometric and Educational Evaluation at Universiti Sains Malaysi (University of Science, Malaysia) in 2011. She obtained her Ph.D in Research Methods and Statistics from University of Denver, USA in the year 2016. Her areas of interest are propensity score analysis, meta-analysis, psychometrics and Rsoftware applications. She is also active as statistics consultant for research projects at international organizations.
Dr Fernando Marmolejo-Ramos
University of South Australia
Dr Fernando Marmolejo-Ramos is a research fellow in human and artificial cognition at the Centre for Change and Complexity in Learning (C3L) at the University of South Australia. Fernando has a Master of Applied Science (MAppSc, by research) in cognitive psychology from the University of Ballarat (2005-2007) and a Ph.D. (by research) in experimental psychology from the University of Adelaide (2007-2011). From November 2014 to December 2016, he was a postdoctoral research fellow at the Department of Psychology at Stockholm University. His research interests include embodied cognition (e.g. embodiment of language and emotions) and applied statistics/methodology. More recently Fernando’s interests include experimental education, statistical cognition, and intersections between concepts in human cognition and artificial intelligence in learning scenarios and processes.