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Professor of Genomics and Global Health
London School of Hygiene and Tropical Medicine (LSHTM), United Kingdom (UK)
Email: Taane.clark@lshtm.ac.uk
VALIDATE Role:
Network Investigator
Research Keywords:
Tuberculosis, Infectious Disease ‘omics, AI
Biography:
Taane G. Clark is Professor of Genomics and Global Health, with a multidisciplinary background spanning statistics, genetics, and epidemiology. As a genomic epidemiologist, he leverages ‘omics technologies to advance public health, uncovering key insights into host susceptibility, pathogen transmission, virulence, and antimicrobial resistance (AMR) in infectious diseases such as tuberculosis (TB), malaria, and nosocomial infections. His research harnesses whole genome sequencing, population genetics, AI, and GWAS approaches to develop tools like molecular barcodes for inferring geographic origin, transmission dynamics, and AMR. These outputs feed into widely used in silico profiling tools, such as TB-Profiler, for clinical management and surveillance. Taane has developed novel methodologies to explore host–pathogen interactions and leads large-scale collaborative studies across >10 LMIC countries. He is also deeply engaged in capacity strengthening in genomics, bioinformatics, and AI - supervising >30 PhD and >70 MSc graduates, and delivering >35 hands-on workshops and short courses globally. He has authored >360 peer-reviewed publications, advancing the global infectious disease genomics agenda.
Related Websites:
LSHTM - Staff Profile
LSHTM - The Applied Genomics Centre
Key Publications:
- Ngwana-Joseph GC, ..., Clark TG. Genomic analysis of global Plasmodium vivax populations reveals insights into the evolution of drug resistance. Nat Commun. 2024;15(1):10771.
- Phelan JE, …., Clark TG. Genome-wide host-pathogen analyses reveal genetic interaction points in tuberculosis. Nat. Commun. 2023;14(1):549.
- Gómez-González PJ, …, Phelan JE, Clark TG. Portable sequencing of Mycobacterium tuberculosis for clinical and epidemiological applications. Brief Bioinform 2022; bbac256.
- Napier G, Campino S, …, Phelan J, Clark TG. Robust barcoding and identification of M. tuberculosis lineages for epidemiological and clinical studies. Genome Med. 2020;12(1):114.
- Phelan JE, …, Huggett JF, Clark TG. Integrating informatics tools and portable sequencing technology for rapid detection of resistance to anti-TB drugs. Genome Med. 2019; 11(1):41.
- Coll F, Phelan J, …, Clark TG. A whole genome association approach reveals insights into global Mycobacterium tuberculosis drug resistance. Nat Genet. 2018; Jan 22.
- PubMed
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