Researcher

Dr Fei Huang

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Field of Research (FoR)

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Biography

Fei joined the School of Risk and Actuarial Studies in July 2020 as a Senior Lecturer. She received her BSc. in Mathematics from Xiamen University in 2009, MPhil in Actuarial Science from the University of Hong Kong in 2011, and PhD in Actuarial Studies from the Australian National University in 2015. Before joining UNSW, she worked at the Australian National University as a Lecturer (2015-2018) and Senior Lecturer (2019-2020).

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Fei joined the School of Risk and Actuarial Studies in July 2020 as a Senior Lecturer. She received her BSc. in Mathematics from Xiamen University in 2009, MPhil in Actuarial Science from the University of Hong Kong in 2011, and PhD in Actuarial Studies from the Australian National University in 2015. Before joining UNSW, she worked at the Australian National University as a Lecturer (2015-2018) and Senior Lecturer (2019-2020).

Fei's main research interest lies in predictive modelling and data analytics.  She applies machine learning techniques and statistical methods for various actuarial applications, such as mortality modelling and forecasting, macroeconomic and investment forecasting, and general insurance pricing.  

Fei is also a dedicated educator.  Her educational excellence has been recognized by winning the ANU Vice Chancellor’s Award for Teaching Excellence in the Early Career Category (2018) and ANU College of Business and Economics Award for Teaching Excellence in the Early Career Category (2017).  


My Qualifications

  • PhD, Australian National University (2015)
  • MPhil, University of Hong Kong (2011)
  • BSc, Xiamen University (2009)

My Awards

  • ANU Vice Chancellor’s Award for Teaching Excellence in the Early Career Category (2018) 
  • ANU College of Business and Economics Award for Teaching Excellence in the Early Career Category (2017).  

My Research Activities

  1. General Insurance Pricing 
  2. Advanced-age mortality modelling and forecasting using extreme value theory (EVT)
  3. Mortality modelling and forecasting using machine learning techniques
  4. Actuarial economic assumptions modelling using big data
  5. Dependence modelling and general insurance pricing 

My Research Supervision


Supervision keywords


Areas of supervision

  • Data analytics and its various applications in actuarial studies.
  • Using machine learning techniques and statistical methods for
    * mortality modelling and forecasting
    * macroeconomic and investment forecasting
    * general insurance pricing 
    * discrimination-free insurance pricing

Currently supervising

  • Yumo Dong (primary supervisor). PhD student at the Australian National University
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Publications

by Dr Fei Huang