Johnson holds an adjunct faculty appointment at SMU School of Information Systems and his focus areas include applied statistical computing, machine learning as well as big data tools and techniques. His current and past industry experience spans across finance, consulting and government sectors, serving as Head of Data Science and Principal Data Scientist in DBS, Booz Allen Hamilton and Ministry of Defence respectively. An avid programmer and data enthusiast, Johnson enjoys developing apps and data products. Most recently, he was awarded first prize in Singapore’s largest coding competition, Hackathon@SG 2015 as well as the CapitaLand Data Challenge 2016.

Johnson completed his bachelor’s degree at University of California, Berkeley, majoring in the subjects of Pure Mathematics, Statistics and Economics. He received his postgraduate degree in Statistics at Yale University.

Natural Language Processing for Event Extraction
Much information is embedded within the large volumes of unstructured data that we so often neglect in the implementation of business analytics. How do we seamlessly classify and extract key ideas with automation? In this presentation, we explore the open source tools, algorithms and services that relevant for the design of a reference architecture to surface underlying insights from texture descriptions.

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