Imperial College London


Faculty of MedicineSchool of Public Health

Honorary Research Associate







Norfolk PlaceSt Mary's Campus





I am a Research Associate based in the MRC centre for Global Infectious Disease Analysis in the School of Public Health at Imperial College, London. My research is on time series analysis and methods in machine learning. During the COVID-19 outbreak I have been working on the application and development of mathematical models to address policy-relevant questions about infectious diseases.

Selected Publications

Journal Articles

Vollmer MAC, Glampson B, Mellan TA, et al., 2021, A unified machine learning approach to time series forecasting applied to demand at emergency departments, Bmc Emergency Medicine, Vol:21, ISSN:1471-227X, Pages:1-14

Unwin H, Mishra S, Bradley V, et al., 2020, State-level tracking of COVID-19 in the United States, Nature Communications, Vol:11, ISSN:2041-1723, Pages:1-9

Flaxman S, Mishra S, Gandy A, et al., 2020, Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe, Nature, Vol:584, ISSN:0028-0836, Pages:257-261

Vollmer MAC, 2017, Critical points and bifurcations of the three-dimensional onsager model for liquid crystals, Archive for Rational Mechanics and Analysis, Vol:226, ISSN:0003-9527, Pages:851-922


Vollmer M, Radhakrishnan S, Kont M, et al., 2020, Report 29: The impact of the COVID-19 epidemic on all-cause attendances to emergency departments in two large London hospitals: an observational study

Vollmer M, Mishra S, Unwin H, et al., 2020, Report 20: A sub-national analysis of the rate of transmission of Covid-19 in Italy

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