Dr Ting Shi is a Chancellor's Fellow at The University of Edinburgh. She obtains the PhD and MPH degrees in Public Health Sciences from the University of Edinburgh. She is a big data specialist with a particular interest in global respiratory epidemiology.

The projects she is currently leading are 1) characterise the risk profiles of common respiratory pathogens including respiratory syncytial virus, influenza and COVID-19 using Scotland national linked dataset; 2) monitor the in-hospital and post-discharge complications of severe respiratory syncytial virus infections in both children and older adults by conducting individual participant data meta-analysis across multiple countries; 3) investigate the association between early life exposure to viral respiratory infection and childhood recurrent wheeze and asthma development using national linked datasets in Scotland and Northern Ireland; 4) investigate the severe COVID-19 outcomes among those who received autumn booster doses in 4 UK nations; 5) map the impact of emerging respiratory strains on health resource usage by using dynamic modelling.  

Her work has been published in The Lancet, Nature Medicine, Lancet Respiratory Medicine, Lancet Global Health, Chest, Journal of Infectious Diseases and other peer-reviewed journals. 

Her research vision is to become an Epidemiologist with globally influential research portfolio, using innovative techniques to undertake interdisciplinary research programme in respiratory medicine.

Epidemiology, Respiratory Disease, Global Health, Big Data, Respiratory Syncytial Virus, Pneumonia, COVID-19, Vaccine Effectiveness, Vaccine Safety, Systematic Review, Individual Participant Data Meta Analysis, National Linked Data Analysis, Child Health