ScITree: Scalable Bayesian inference of transmission tree from epidemiological and genomic data
Waddel, H., Koelle, K., & Lau, M. S. Y.
PLOS Computational Biology, 2025
Projecting the population-level impact of norovirus vaccines
Koelle, K., Lappe, B., Lopman, B., Lau, M. S. Y., Viscidi, E., Carlson, K. B.
Epidemics, 2025
A plasma metabolic signature to diagnose pulmonary tuberculosis and monitor treatment response
Collins, J. M., Bobosha, K., Narayanan, N., Gandhi, N. R., Day, C. L., Rengarajan, J., … Lau, M.S.Y., … & Wassie, L.
The Journal of Infectious Diseases, 2025
Efficient Epidemic Intervention Generation: A Graph Adversarial Attack Perspective
Li, Y., Wei, M., Liu, Z., Lau, M. S.Y., & Jin, W.
Companion Proceedings of the ACM on Web Conference 2025 (Workshop), 2025
CAPE: Covariate-adjusted pre-training for epidemic time series forecasting
Liu, Z., Ni, J., Lau, M. S. Y., & Jin, W.
arXiv preprint arXiv:2502.03393, 2025
Epidemiology-aware neural ODE with continuous disease transmission graph
Wan, G., Liu, Z., Lau, M. S. Y., Prakash, B. A., & Jin, W.
International Conference on Machine Learning (ICML), 2025
Genetic drift and purifying selection shape within-host influenza A virus populations during natural swine infections
VanInsberghe, D., McBride, D. S., DaSilva, J., Stark, T. J., Lau, M. S. Y., Shepard, S. S., & Koelle, K.
PLOS Pathogens, 2024
Deep neural networks for endemic measles dynamics: Comparative analysis and integration with mechanistic models
Madden, W. G., Jin, W., Lopman, B., Zufle, A., Dalziel, B., Metcalf, C. J. E., Grenfell, B. T., & Lau, M. S. Y.
PLOS Computational Biology, 2024
Comparing and linking machine learning and semi-mechanistic models for the predictability of endemic measles dynamics
Lau, M. S. Y., Becker, A., Madden, W., Waller, L. A., Metcalf, C. J. E., & Grenfell, B. T.
PLOS Computational Biology, 2022
Estimating the cumulative incidence of SARS-CoV-2 infection and the infection fatality ratio in light of waning antibodies
Shioda, K., Lau, M. S. Y., Kraay, A. N., Nelson, K. N., Siegler, A. J., Sullivan, P. S., … & Lopman, B. A.
Epidemiology, 2021
Characterizing superspreading events and age-specific infectiousness of SARS-CoV-2 transmission in Georgia, USA
Lau, M. S. Y., Grenfell, B., Thomas, M., Bryan, M., Nelson, K., & Lopman, B.
Proceedings of the National Academy of Sciences, 2020
A competing-risks model explains hierarchical spatial coupling of measles epidemics en route to national elimination
Lau, M. S. Y., Becker, A. D., Korevaar, H. M., Caudron, Q., Shaw, D. J., Metcalf, C. J. E., Bjørnstad, O. N., & Grenfell, B. T.
Nature Ecology & Evolution, 2020
Vaccination under uncertainty
Lau, M. S. Y., & Grenfell, B. T.
Nature Ecology & Evolution, 2018
Unreported cases in the 2014–2016 Ebola epidemic: Spatiotemporal variation and implications for estimating transmission
Dalziel, B. D., Lau, M. S. Y., Tiffany, A., McClelland, A., Zelner, J., Bliss, J. R., & Grenfell, B. T.
PLOS Neglected Tropical Diseases, 2018
Spatial and temporal dynamics of superspreading events in the 2014–2015 West Africa Ebola epidemic
Lau, M. S. Y., Dalziel, B. D., Funk, S., McClelland, A., Tiffany, A., Riley, S., Metcalf, C. J. E., & Grenfell, B. T.
Proceedings of the National Academy of Sciences, 2017
A mechanistic spatio-temporal framework for modeling individual-to-individual transmission—With an application to the 2014–2015 West Africa Ebola outbreak
Lau, M. S. Y., Gibson, G. J., Adrakey, H., McClelland, A., Riley, S., Zelner, J., Streftaris, G., Funk, S., Metcalf, C. J. E., Dalziel, B. D., & Grenfell, B. T.
PLOS Computational Biology, 2017
A systematic Bayesian integration of epidemiological and genetic data
Lau, M. S. Y., Marion, G., Streftaris, G., & Gibson, G.
PLOS Computational Biology, 2015
Inferring influenza dynamics and control in households
Lau, M. S. Y., Cowling, B. J., Cook, A. R., & Riley, S.
Proceedings of the National Academy of Sciences, 2015
New model diagnostics for spatio-temporal systems in epidemiology and ecology
Lau, M. S. Y., Marion, G., Streftaris, G., & Gibson, G. J.
Journal of The Royal Society Interface, 2014