Krystal Lau is a PhD candidate in Health Economics in the Department of Economics and Public Policy at Imperial College Business School in London, United Kingdom since September 2015. She is an affiliate of the Centre for Health Economics and Policy Innovation (CHEPI) at Imperial College Business School and a member of the Berlin-Brandenburg Academy of Sciences Doctoral Colloquium.
Her research focuses on behavioral economics, in which she utilizes online experiments to investigate the impact of social norms on vaccination decision-making. Furthermore, she uses machine learning techniques to determine the most important predictors of vaccination. Her work also includes characterizing the impact of influenza pandemics on hospitals and health systems. Krystal's broader research interests include behavioral analysis of the transmission of information and beliefs within social networks in relation to the anti-vaccination movement and pandemics. Her PhD is supervised by Dr. Marisa Miraldo of Imperial College Business School and Dr. Katharina Hauck of Imperial College School of Public Health.
Krystal holds a MRes in Business from Imperial College Business School as well as a MS in Bioscience and Health Policy, a BS in Biochemistry and Cell Biology, and a BS in Health Care Management Policy Studies from Rice University in Houston, Texas. Prior to her PhD, Krystal held a data analytics position for Network of Behavioural Health Providers (NBHP), a Houston-based behavioral health non-profit organisation. She has also worked for Janssen Pharmaceutical as a mass spectrometry researcher and for the Baker Institute for Public Policy as a drug policy researcher.
For more details about Krystal's work, please visit her personal website.
Lau K, Hauck K, Miraldo M, 2019, Excess influenza hospital admissions and costs due to the 2009 H1N1 pandemic in England, Health Economics, Vol:28, ISSN:1057-9230, Pages:175-188
et al., Social norms and free-riding in influenza vaccine decisions in the UK: an online experiment, The Lancet Public Health Science Conference 2019, Elsevier, ISSN:0140-6736