Summary
Krystal Lau is a PhD candidate in Health Economics (due to submit in September 2020) in the Department of Economics and Public Policy. She is an affiliate of the Centre for Health Economics and Policy Innovation (CHEPI) and a member of the Berlin-Brandenburg Academy of Sciences Doctoral Colloquium.
Her research focuses on two main areas: 1) using large hospitalization data to understand the impact of pandemics on secondary care health systems and 2) designing behavioral economics experiments to measure behavioral drivers of vaccination decision-making. her 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 has experience teaching economics to 100 Undergraduate, Masters, MBA, and Executive Education students both online and in-person. She has also been a guest lecturer in time series econometrics and behavioral economics.
She has served as the Chair of her Doctoral Programme's Student-Staff Committee, Deputy Chair of Academics for the Dean's Student Advisory Council, Chair of Imperial Network for Vaccine Research Early Career Researchers Committee, Advisor to the Faculty Education Committee, Advisor to the Athena SWAN Gender Equality Committee.
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 performed data analysis 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.
Publications
Journals
D’Aeth J, Ghosal S, Grimm F, et al., 2023, Optimal hospital care scheduling during the SARS-CoV-2 pandemic, Management Science, Vol:69, ISSN:0025-1909, Pages:5923-5947
Galizzi M, Lau K, Miraldo M, et al., 2022, Bandwagoning, free-riding and heterogeneity in influenza vaccine decisions: an online experiment, Health Economics, Vol:31, ISSN:1057-9230, Pages:614-646
D’Aeth J, Ghosal S, Grimm F, et al., 2021, Optimal national prioritization policies for hospital care during the SARS-CoV-2 pandemic, Nature Computational Science, Vol:1, ISSN:2662-8457, Pages:521-531
Lau K, Dorigatti I, Miraldo M, et al., 2021, SARIMA-modelled greater severity and mortality during the 2010/11 post-pandemic influenza season compared to the 2009 H1N1 pandemic in English hospitals, International Journal of Infectious Diseases, Vol:105, ISSN:1201-9712, Pages:161-171