Dr Taane Clark BCom MSc DPhil

Reader in Genetic Epidemiology and Statistics

Taane Clark's Background

Taane is an experienced biostatistician with expertise in statistical and population genetics. In early 2010 he joined the LSHTM, after holding senior statistician appointments at the Wellcome Trust Sanger Institute (WTSI) and Wellcome Trust Centre for Human Genetics (Oxford), where he focused on the genomic epidemiology of malaria.

Taane Clark's Affiliation

Taane Clark's Teaching

Pathogen genomics, Genetic epidemiology

Taane Clark's Research

His main research interests include the design and analysis of large-scale association studies of infectious diseases in humans, and the investigation of genetic variation in pathogen populations using high-throughput sequencing and genotyping technologies. He is leading global genetic diversity projects of Mycobacterium tuberculosis and Plasmodium species, as well as developing statistical and informatic tools to integrate genetic and important phenotypic information and identify genetic regions associated with important disease phenotypes (e.g. drug resistance). He also provides statistical / epidemiology support and training to the Malaria Genomic Epidemiology Network and pathogen groups at the WTSI, as well as organises short courses in Pathogen genomics and Genetic epidemiology. Further details can be found at www.pathogenseq.org.

Research areas

  • Bacteria
  • Drug resistance
  • Global Health
  • Human genetics
  • Parasites
  • Public health history
  • Statistical methods

Disciplines

  • Bioinformatics
  • Epidemiology
  • Genetic epidemiology
  • Genetics
  • Genomics
  • Statistics

Disease and Health Conditions

  • Infectious disease
  • Malaria
  • Non-communicable diseases
  • Tuberculosis

Regions

  • World

Other interests

  • Antimalarial Drug Resistance
  • Biomarkers & Surrogate Markers
  • Evolution
  • Genome Wide Association Scans
  • Genotyping
  • Karonga Prevention Study
  • MDR TB
  • Malaria Centre
  • Population Genetics
  • Population genomics
  • Statistical methodology
  • Statistical modelling
  • TB Centre
  • global health
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