Mary Cameron is a Professor of Medical Entomology and Head of the Department of Disease Control (DCD) at the London School of Hygiene & Tropical Medicine (LSHTM). She has over 35 years’ experience in delivering international level field and laboratory research focusing on the surveillance and control of a wide range of vector-borne diseases. Mary has developed strong collaborative networks on Neglected Tropical Diseases in multiple disease endemic countries.
Affiliations
Centres
Teaching
Between 2003-2017, Mary was the MSc Programme Director of Medical Entomology for Disease Control, formerly Biology and Control of Disease Vectors and Medical Parasitology and organised several face-to-face modules.
Currently, Mary is vice-chair of the examination board for MSc Medical Parasitology. She is a tutor, project supervisor, presents lectures and leads practicals for several modules:
3121 - Core Bacteriology & Virology - Peer Review
3122 – Core Parasitology and Entomology: Ectoparasites: Biology & Control & The peer review process,
3141 – Vector Sampling, Identification and Incrimination: Sampling, ID & incrimination of phlebotomine sandflies & Molecular xenomonitoring, and
3176 – Integrated Vector Management: Control of Leishmaniasis & Control of Mites and Lice.
Research
In addition, Mary is the LSHTM PI on a collaborative project led by Royal Danish Academy of Fine Arts Schools of Architecture Design & Conservation with the Ifakara Health Institute, Tanzania funded by the NoVo Foundation. The project will generate a risk-assessment of vector-borne diseases in urban Dar-es-Salaam based on deep learning and remote sensing.
Mary is also on the steering committee of a collaborative project with Wolf-Peter Schmidt (PI) and the Christian Medical College Vellore, India funded by the MRC to understand the epidemiology of scrub typhus and rickettsial infections in a highly endemic rural setting in south India.
Furthermore, Mary is the primary supervisor of Freddy Sarathchandra who is undertaking a PhD, LIDo DPT-funded, defining wing-beat patterns of mosquitoes for automated detection.