Professional Certificate in Machine Learning Using Python

Assoc Prof Danny Poo

Assoc Prof Danny Poo brings with him 35 years of Software Engineering and Information Technology and Management experience. A graduate from the University of Manchester Institute of Science and Technology (UMIST), England, Dr Poo is currently an Associate Professor at the Department of Information Systems and Analytics, National University of Singapore. Prior to joining the University, Dr Poo was with the System Operations at DBSBank, Singapore.

A Steering Committee member of the Asia-Pacific Software Engineering Conference, Dr Poo is actively involved in Information Management and Healthcare Analytics research. A well-known speaker in seminars, Dr Poo has conducted numerous in-house training and consultancy for organizations, both locally and regionally. Dr Poo is the author of 5 books on Object-Oriented Software Engineering, Java Programming language and Enterprise JavaBeans.

Dr Poo notable teaching credentials include:

• Data Strategy
• Data StoryTelling
• Data Visualisation
• Data Analytics
• Machine Learning
• Data Management
• Data Governance
• Data Architecture
• Capstone Projects for Business Analytics
• Software Engineering
• Server-side Systems Design and Development
• Information Technology Project Management
• Health Informatics
• Healthcare Analytics
• Health Informatics Leadership.

Industry Credentials

• Deutsche Bank
• Gemplus
• Micron
• NCR
• PIL
• PSA
• Rhode-Schwarz
• Standard Chartered Bank
• ST Electronic
• Monetary Authority of Singapore
• Infocomm Development Authority
• National Library Board
• Ministry of Manpower
• Nanyang Technological University
• Nanyang Polytechnic
• National University Hospital.

Dr Ai Xin

Dr Ai Xin is currently a Lecturer with the School of Computing at the National University of Singapore (NUS). She has many years’ experience on teaching Artificial Intelligence and Data Science courses, e.g. machine learning, deep learning, data mining and etc.

She graduated from NUS with a PhD degree on Electrical and Computer Engineering. Her research focused on Game Theoretical Modelling, Optimization Methods, Algorithm Design and Wireless Networks.

She worked in BHP Billiton Marketing Asia for eight years and gained a lot of industry experience through different functions, e.g. risk management, supply chain management, sales and marketing planning and etc.

Dr Yeo Wee Kiang

Dr Yeo Wee Kiang is a Senior Lecturer at the Department of Information Systems and Analytics in the NUS School of Computing. Previously, Dr Yeo was Adjunct Lecturer at the Department of Economics in the NUS Faculty of Arts and Social Sciences. Since 2019, he has been teaching the ECA5372 Big Data Analytics module as part of the Master of Economics coursework programme. Additionally, he was a part-time lecturer at Nanyang Business School in Nanyang Technological University where he imparted knowledge on Python programming and analytics to undergraduate students pursuing business studies. Prior to these roles, Dr Yeo served as the Lead Instructor (Data Science Immersive) at a New York-based commercial Continuing Education and Training (CET) provider. In that capacity, he taught aspiring adult learners in Hong Kong, Sydney, and Singapore who were eager to upskill or transition into new careers. Dr Yeo received his doctorate from National University of Singapore. For his PhD work, he focused his research on machine learning and data mining within a multinational pharmaceutical company. His area of specialization involved developing computational methods aimed at uncovering potential medicinal drug candidates. He also holds the WSQ Advanced Certificate in Training and Assessment (ACTA) from the Institute for Adult Learning Singapore.