Williams, Alexander Donald

Alexander Donald Williams
Post-doctoral Fellow

Division of Public Health Laboratory Sciences

  • BSc (The University of Derby), PhD (The University of Nottingham)
Biography

Dr Alexander Donald Williams completed his PhD on antimicrobial resistance (AMR) in agriculture at the University of Nottingham, UK, before moving to Hong Kong to take up a position as a Post-doctoral Fellow at the Laboratory of Data Discovery for Health and latterly the University of Hong Kong. Dr Williams has continued to develop his research on AMR, with a strong focus on One Health projects. This work has expanded to include research on emerging microbial pathogens and microbial ecology in climate-vulnerable regions. Most recently, this has involved international collaborations in support of work in both the Arctic and Antarctic.

Selected Publications
  1. Williams, Alexander D., Vivian W. Leung, Julian W. Tang, Nishimura Hidekazu, Nobuhiro Suzuki, Andrew C. Clarke, David A. Pearce, and Tommy Tsan-Yuk Lam. Ancient environmental microbiomes and the cryosphere. Trends in Microbiology 33, no. 2 (2025): 233-249. (IF 14.9)
  2. Flatgard, Brandon M., Alexander D. Williams, Mohammed Badrul Amin, Jon L. Hobman, Dov J. Stekel, Emily K. Rousham, and Mohammad Aminul Islam. Tracking antimicrobial resistance transmission in urban and rural communities in Bangladesh: a One Health study of genomic diversity of ESBL-producing and carbapenem-resistant Escherichia coli. Microbiology Spectrum 12, no. 6 (2024): e03956-23. (IF 3.8)
  3. Williams, Alexander D., Emily Rousham, Andrew L. Neal, Mohammed Badrul Amin, Jon L. Hobman, Dov Stekel, and Mohammad Aminul Islam. Impact of contrasting poultry exposures on human, poultry, and wastewater antibiotic resistomes in Bangladesh. Microbiology Spectrum 11, no. 6 (2023): e01763-23. (IF 3.8)
  4. Baker, Michelle, Alexander D. Williams, Steven PT Hooton, Richard Helliwell, Elizabeth King, Thomas Dodsworth, Rosa María Baena-Nogueras et al. Antimicrobial resistance in dairy slurry tanks: A critical point for measurement and control. Environment International 169 (2022): 107516. (IF 13.3)

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