Nenad Macesic
Group Leader
I am an Infectious Diseases Physician and researcher. Challenges that I see in my clinical practice on a daily basis drive my research. Specifically, I have a passionate interest in translating the latest developments in bioinformatics and AI to improving our diagnosis and treatment of AMR. So much exciting science is happening - let’s make sure its benefits reach patients!
Hugh Cottingham
PhD Candidate
I am a PhD student focusing on implementing Oxford Nanopore sequencing into clinical contexts. My work involves developing CRISPR-based methods for targeted sequencing of complex samples, benchmarking analysis methods following whole genome sequencing and pipeline development for easy high throughput analysis. Find me on Github or Twitter.
Andy (Hoai-An) Nguyen
PhD Candidate
I'm currently pursuing my PhD at Monash University, where my research revolves around developing machine learning models that can predict antimicrobial resistance using whole genome sequencing and MALDI-TOF data. My specific interest lies in the pretraining of models using extensive bacterial datasets to extract valuable latent representations for subsequent tasks.
I am currently pursuing my PhD where I focus on the intersection of machine learning, electronic health records, and genomics to unravel the mysteries of antimicrobial resistance in sepsis. I previously worked on identifying Long Non-Coding RNAs. I also have invaluable experience in industry, where I applied my data-centric skills to real-world challenges.
Ben Vezina
Post-doctoral Fellow
I am a Postdoctoral Research Fellow who applies microbiology, genomics and wet laboratory skills to address antimicrobial resistance. Currently I'm looking at global distribution of key AMR genes, genomics and plasmids of K. pneumoniae, and application of machine learning to rapid bacterial species identification. Outside the lab I am a keen runner, lifter, soup-maker and long-weekend enjoyer.
Yashpal Ramakrishnaiah
PhD Candidate