Associate Professor Manoj Gambhir
BSc (London), PhD (Cambridge)
Head of Epidemiological Modelling Unit
Associate Professor Manoj Gambhir is a Mathematical Epidemiologist and Head of the Epidemiological Modelling Unit. His work focuses on modelling the likely population health impact and cost-effectiveness of control interventions in both communicable and non-communicable diseases. He was previously with the Centers for Disease Control and Prevention (CDC) in Atlanta, USA, and Imperial College London, UK, where he acted as a lead modeller in the newly-formed Modeling Unit of the National Center for Immunization and Respiratory Diseases, working closely with experts in several infectious diseases, including mumps, influenza, measles, rabies, congenital cytomegalovirus, and pertussis. He worked with teams involved in surveillance and response and designed data-driven mathematical models of the transmission of these diseases to help understand their population dynamics and formulate policy responses. In 2013 A/Prof Gambhir was the Modelling team lead for CDC’s emergency response to the Middle East Respiratory Syndrome coronavirus (MERS-cov) outbreak in the Middle East and Europe, and a senior modeller in the emergency response for the H7N9 avian influenza outbreak in China and Southeast Asia, for which the Modeling Unit was commended with a Director’s Recognition Award.
Prior to this, at Imperial College London, he focused on mathematical and computational modelling of host-parasite ecological systems, particularly those of the neglected tropical diseases (NTDs), to understand control interventions. He has 36 peer-reviewed publications and has worked with several global public health agencies, including the World Health Organisation’s program for the Global Elimination of Blinding Trachoma by 2020, as well as the Task Force for Global Health, the Carter Center in Atlanta, USA, and the National Institutes of Health, USA. A/Prof Gambhir obtained his BSc from Imperial College London and PhD from the University of Cambridge in Theoretical and Computational Physics.