Abstract:
The global rise of antimicrobial resistance (AMR) presented a critical threat to the public health, therefore innovative surveillance strategies were required to monitor its dissemination. Wastewater-based epidemiology has emerged as a valuable tool for tracking AMR in different environments, including hospital wastewater, municipal sewage and aircraft sewage. This dissertation applies metagenomic approaches to assess AMR dissemination in these wastewater sources, providing novel insights into the dynamics of AMR transmission across local and global scales.

Bio:
Changzhi Wang is a Ph.D. candidate in Prof. Pei-Ying Hong’s group. He received his bachelor’s in Bioinformatics from the Southern University of Science and Technology (SUSTech), Shenzhen, China and received his master’s in Environmental Science and Engineering from KAUST, Jeddah, Saudi Arabia. His research involves handling large data sets obtained from multi-omics and applying various bioinformatic pipelines to elucidate the presence of biological contaminants. He is keen to develop bioinformatics that would enable multi-omics in routine monitoring of water treatment technologies and water quality.