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Dr Sam Clifford

B AppSc PhD

Assistant Professor
in Machine (Statistical) Learning

Room
120

LSHTM
Keppel Street
London
WC1E 7HT
United Kingdom

Sam obtained a Bachelors Degree in Applied Science (with Honours) from Queensland University of Technology (QUT, Brisbane, Australia), majoring in Applied and Computational Mathematics. After a short break teaching mathematics to video game developers at Krome Studios, Sam undertook his Doctoral studies at the International Laboratory for Air Quality and Health (ILAQH), a WHO Collaborating Centre, at QUT.

Under Professors Lidia Morawska and Kerrie Mengersen and Dr Samantha Low-Choy, Sam's thesis investigated spatio-temporal modelling of ultrafine particles in Brisbane, Australia. After five and a half years of postdoctoral work at QUT (ILAQH and the ARC Centre of Excellence for Mathematical and Statistical Frontiers), Sam joined the London School of Hygiene and Tropical Medicine for 2.5 years as a postdoctoral fellow.

In 2020 Sam was promoted to Assistant Professor, where he continues his work on streptococcus pneumoniae, SARS-CoV-2/COVID-19 and Dengue.

Affiliations

Department of Infectious Disease Epidemiology
Faculty of Epidemiology and Population Health

Centres

Centre for the Mathematical Modelling of Infectious Diseases (CMMID)

Teaching

Sam's current teaching at LSHTM includes the following short courses:

and the following MSc modules:

Sam is currently enrolled in the Postgraduate Certificate in Learning and Teaching at LSHTM.

Prior to joining LSHTM, Sam lectured mathematics and statistics to first year Bachelor of Science students at QUT in the core unit SEB113 - Quantitative Methods for Science. His teaching makes use of blended learning approaches to prepare students for lecture material, and collaborative workshops with project-based learning.

In 2015, Sam and his team were awarded a Vice Chancellor's Award for Innovation on the basis of their work transforming SEB113.

 

Research

Sam's research at LSHTM includes the following:

  • Traveller screening, contact tracing and quarantine for SARS-CoV-2/COVID-19
  • Spatio-temporal variation in Streptococcus pneumoniae serotypes
  • Maternal colonisation of Group B Streptococcus
  • Modelling the health and economic impact of dengue vaccination

In addition to his doctoral thesis on spatio-temporal modelling of ultrafine particle number concentration, Sam's research interests include

  • exposure assessment
  • personal monitoring equipment for air pollution
  • non-parametric regression
  • jaguar conservation
  • Great Barrier Reef conservation
  • machine learning for spatial data
  • Bayesian hierarchical modelling
  • data visualisation
  • mathematics and statistics education
Research Area
Statistical methods
Vaccines
Bayesian Analysis
Environmental Health
Mobile technologies
Outbreaks
Schools
Spatial analysis
Modelling
Education
Discipline
Mathematics
Mathematical modelling
Statistics
Disease and Health Conditions
Asthma
Respiratory disease
Dengue
Coronavirus

Selected Publications

Implementation strategies for the first licensed dengue vaccine: A meeting report.
Fongwen N; Delrieu I; Ham LH; Gubler DJ; Durbin A; Ooi E-E; Peeling RW; Flasche S; Hartigan-Go K; Clifford S
2021
Vaccine
Estimation of country-level incidence of early-onset invasive Group B Streptococcus disease in infants using Bayesian methods.
Gonçalves BP; Procter SR; Clifford S; Koukounari A; Paul P; Lewin A; Jit M; Lawn J
2021
PLoS computational biology
The potential for vaccination-induced herd immunity against the SARS-CoV-2 B.1.1.7 variant.
Hodgson D; Flasche S; Jit M; Kucharski AJ; CMMID COVID-19 Working Group; Centre for Mathematical Modelling of Infectious Disease (CMMID)
2021
Eurosurveillance
The impact of local and national restrictions in response to COVID-19 on social contacts in England: a longitudinal natural experiment.
Jarvis CI; Gimma A; van Zandvoort K; Wong KLM; CMMID COVID-19 working group; Edmunds WJ
2021
BMC medicine
Global and national estimates of the number of healthcare workers at high risk of SARS-CoV-2 infection.
McCarthy CV; Sandmann FG; CMMID COVID-19 Working Group; Jit M
2021
The Journal of hospital infection
Implications of the school-household network structure on SARS-CoV-2 transmission under school reopening strategies in England.
Munday JD; Sherratt K; Meakin S; Endo A; Pearson CAB; Hellewell J; Abbott S; Bosse NI; CMMID COVID-19 Working Group; Atkins KE
2021
Nature communications
Pneumococcal exposure routes for infants, a nested cross-sectional survey in Nha Trang, Vietnam
Qian G; Toizumi M; Clifford S; Le LT; Papastylianou T; Quilty B; Iwasaki C; Kitamura N; Takegata M; Nguyen TM
2021
Quarantine and testing strategies to reduce transmission risk from imported SARS-CoV-2 infections: a global modelling study
Quilty B; Russell T; Clifford S; Flasche S; Pickering S; Neil SJD; Galão RP; Edmunds J; CMMID COVID-19 Working Group
2021
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