Organizing Committee

Malaysia R User Group Core Members

Dr. Poo Kuan Hoong

MyRUG

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). 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. Yu Yong Poh

MyRUG

Dr. Yu Yong Poh has been actively involved in project development for many years. He has completed and delivered several DS/AI projects or applications. Additionally, He has also been conducting many professional training workshops, which cover data science, machine learning, big data, text and image analytics, Python and R etc.

Professor Dr. Kamarul Imran Musa

Universiti Sains Malaysia

Professor 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.

Dr. Wan Nor Arifin Bin Wan Mansor

Universiti Sains Malaysia

Dr. Wan Nor Arifin bin Wan Mansor is a Senior Lecturer in the Biostatistics and Research Methodology Unit at the School of Medical Sciences, Universiti Sains Malaysia (USM). He holds an MBBS from Universiti Islam Antarabangsa Malaysia, an MSc in Medical Statistics from USM, and a PhD in Intelligent Systems from USM, Kubang Kerian. Dr. Wan Nor Arifin specializes in medical statistics and research methodology, particularly using the R programming language, which he promotes in medical research. His research interests include developing and validating measurement tools in clinical and public health settings, machine learning applications, sample size calculation, and statistical methods. He is actively involved in creating R functions and packages, enhancing computational algorithms, and teaching statistical programming. Dr. Wan Nor Arifin is recognized for his contributions to statistical methodology and the integration of machine learning in health research, making him a key figure in advancing medical research methodologies.

Loo Keen Ngin

Deputy Director at Large - Technology and Cybersecurity Project Management Institute (PMI) Malaysia Chapter Malaysia

Mr Loo Keen Ngin is a technology strategist, AI practitioner, and passionate R User Group volunteer. With over 20 years of experience in geospatial intelligence and digital transformation, he leads MapIT MSC in developing smart mobility and decision intelligence solutions that bridge predictive foresight with real-world execution for enterprises and governments.