My research is highly multidisciplinary and uses ideas from statistics and control engineering to obtain a sharper and more rigorous understanding of biological processes. In particular, I have applied stochastic, information, queueing, estimation and control theory to uncover new insights into molecular biology, epidemiology and invertebrate neuroscience. My current work looks at developing new models for epidemic transmission and control, which justifiably trade complexity with reliability.
et al., 2020, An exact method for quantifying the reliability of end-of-epidemic declarations in real time, Plos Computational Biology, ISSN:1553-734X
et al., 2020, A database for the epidemic trends and control measures during the first wave of COVID-19 in mainland China, International Journal of Infectious Diseases, ISSN:1201-9712
et al., 2020, State-level tracking of COVID-19 in the United States, Nature Communications, ISSN:2041-1723