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Ben LambertCV
Somerville collegeOX2 6HD
Í www.ben-lambert.com
Future researchI intend to continue to undertake research towards a better understanding of the epidemiology ofmosquito-borne disease, particularly malaria. In particular I am interested in applying Bayesianstatistical techniques to gain insight into aspects of vector and parasite biology, that lead to practicalimprovements in public health interventions.
PhD thesistitle Understanding mosquito vectors, and methods for their control. I have been involved
in two separate projects: 1. Modelling the use of genetically-modified mosquitoes asa way of controlling wild populations of mosquitoes. 2. Using hierarchical Bayesianmodels and machine learning to calculate novel estimates of mosquito parameters;for example, mortality and dispersion, both of which are important for understandingthe epidemiology of malaria.
supervisors Prof. Charles Godfray, Dr Ace North.location Department of Zoology, Oxford University.
date begun October 2014, after one year of DTC training.
Education2008
2010MPhil, Economics, University of Cambridge, Distinction.Thesis on the empirical relationship between terrorism and religion.
20032007
MPhys, Physics, University of Oxford, 1st class degree.Thesis on simulating DNA nanostructures using the Ising model.
Experience20102013
GDM Digital, and Havas Media (advertising companies), Manager.Responsible for organising statistical analyses of advertising campaigns. The work entailedusing machine learning, time series econometrics, and Bayesian statistics to estimate thereturn on advertising campaigns.
Publicationskidney “Bayesian inference of agent-based models: a tool for studying kidney branching
morphogenesis”, submitted to Journal of Theoretical Biology.cultural
evolution“The pace of modern culture”, undergoing revisons for PNAS.
zika “Epidemiological and ecological determinants of Zika virus transmission in an urbansetting”, submitted to eLife.
Other research activitiesmalaria Inferring anopheles mosquito population parameters using infrared spectroscopy and
machine learning, with Dr Tom Churcher at Imperial College.NGO An active member of Target Malaria consortium, and participated in meetings in
the UK, US and Uganda.HIV On the origins of HIV subtypes and their implications for potential vaccines, with
Professor Astrid Erber, WIMM, Oxford University.bioinformatics Developing models for the analysis of multitrait genetic association studies with
Professor Jonathan Marchini, Oxford University.kidney
modellingModelling the developing kidney with a cellular automaton model, with Prof. HelenByrne, Oxford University.
evolutionarybiology
Evolution of cultural traits, with Prof. Armand Leroi at Imperial College, London.
animalmovement
Developing statistical models to allow a better understanding of the migrationof elephants and pigeons, with Susanne Vogel and Lucy Taylor, Zoology, OxfordUniversity.
TeachingLecturing DPhil course in applied Bayesian inference. Three iterations over past three terms,
taught across all medical and social sciences. All syllabus and materials producedby me.
Authoringtextbook
Dreaming in Bayes: a comprehensive guide to Bayesian statistics, Sage publishing.Forthcoming, December, 2017.
Online Published over 500 videos on econometrics and Bayesian statistics, with over 4million unique views worldwide.
Graduatetutor
MPhil econometrics courses at Oxford.
Undergraduatetutor
Economics courses (econometrics, micro and game theory); Applied mathematicsand statistics.
Awards{ DTC Public Engagement award, 2015. Based on my econometrics and Bayesianstatistics online lecture courses.
{ Mary Somerville scholar, 2005-2007.
Conferences, talks and mediaMMEE, Paris Mathematical modelling in ecology and evolution. Estimating Anopheline age
through a Bayesian meta-analysis, July 2013.
MathCompEpi,Sicily
Do Anopheles undergo senescence? August-September, 2013
BBC4documentary
The Secret Science of Pop. Aired in March 2017.
FinancialTimes article
Discussed in an article, “Are Moocs the perfect drug?” September 2015.
EEID, Oxford Evolutionary ecology of infectious diseases group. Using spectroscopy and machinelearning to estimate mosquito population parameters, December 2015.
Inferencegroup, Oxford
Bayesian hierarchical modelling, November 2015.
Presentedposter
DTC symposium Oxford, February 2016.
ConsultancyMarketingQED,
LondonAnalysed their proprietary statistical software, and provided consultancy for newstatistical products being launched, 2014-2016.
Sagepublications,
London
Produced video lectures on ANOVA, and other statistical techniques.
ReferencesProf. Charles GodfrayDepartment of ZoologyOxford UniversityB [email protected]. Armand LeroiFaculty of Natural SciencesImperial College, LondonB [email protected] Thomas ChurcherFaculty of MedicineImperial College, LondonB [email protected]. Helen ByrneMathematical InstituteOxford UniversityB [email protected] Ace NorthDepartment of ZoologyOxford UniversityB [email protected]
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