20142018

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Personal profile

Biography

Dr. Ewilly Liew is currently the Coordinator for the Econometrics and Business Statistics Department. She completed her tertiary studies at Monash Malaysia (2007 – 2015) and graduated from Monash Australia Data Science Microcredential (2020). At Monash, she received numerous awards including Dean’s Honours List (2009, 2010), Overall Best Thesis (2010), Best Thesis Presentation (2010), Honours Degree Full Scholarship (2010), and Postgraduate Research Degree Full Scholarship (2013-2015).

 

As an early career researcher, Dr. Ewilly focuses her interdisciplinary research on emerging technology adoption, digital transformation, and applications of behavioral analysis methodology in public healthcare, higher education, and service sectors. In particular, she specializes in data visualization, statistical learning, structural equation modeling, and survey-based analysis.

 

A recipient of the Monash Vice Chancellor's Citation for Outstanding Contribution to Student Learning Award (2020), Dr. Ewilly was recognized for her education innovation. Her teaching philosophy aims at empowering students on the practicality and creativity of applied data analytics in the business world. In her first 5 years at Monash, she developed four new Business Analytics units at the undergraduate and postgraduate levels. Her students were crowned champion in numerous national and regional data science competitions.

 

Dr. Ewilly participates in multiple international and national interdisciplinary research projects on artificial intelligence AI-driven systems, gerontechnology, and public health policy review. She leads a team of collaborators working closely with clinical specialists to leverage the data-rich Electronic Medical Records System for healthcare analytics. She engages with the public healthcare community and external industry collaborators. Internationally, she was a visiting research fellow at Harvard University (Spring 2015).

 

She continuously upskills and reskills herself through data science courses from the International Statistical Institute (ISI), Center of Applied Data Science (CADS), SAS Malaysia, SAP University Alliances, Malaysia Digital Economy Corporate (MDEC), DataCamp, MOOCs, and other learning platforms.

 

Research interests

  • Focus: thriving communities in developing context
  • Methods: data visualization, statistical learning, structural equation modeling, and survey-based analysis. 
  • Interests: emerging technology adoption, digital transformation, behavioral application
  • Sectors: public healthcare, higher education, service industry.

Monash teaching commitment

  • ETW3483 Applied Analytics

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Research area keywords

  • Technology Acceptance
  • Social Media
  • Higher Education
  • Public Health
  • Aging/Gerontology
  • Statistical Machine Learning
  • Data Visualisation
  • Structural Equation Modeling
  • Surveys and Survey Research

Network

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