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
Post-Doctoral Fellow
I am a post-doctoral fellow 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
Post-Doctoral Fellow - AI Lead
I a post-doctoral fellow at Monash University, where I develop 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.
Ben Vezina
Post-Doctoral Fellow - Genomics Lead
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.
Aadith Ashok
PhD Candidate
I am an Infectious Diseases physician who specializes in infections occurring in immunocompromised hosts (ICH). I am currently undertaking a PhD that focuses on validating and clinically implementing AI tools to assist clinicians in improving diagnostics and treatment approaches in patients with infections. My goal is to bridge the current translational gap that exists for AI in healthcare and transform conceptual algorithms into clinically viable bedside tools. Find me on LinkedIn or X.
Gianna La Regina
PhD Candidate
I am a PhD student at Monash University and University of Zurich. My project interfaces at the intersection of AI, Climate Change and AMR. Specifically, I apply machine learning methods to study the spread of AMR in Indonesian informal settlements and its connection to climate change. I believe that combining knowledge from different disciplines gives us the chance to make meaningful progress for our community.
Alumni
Yashpal Ramakrishnaiah
Bhargava Morampalli Reddy
Alice Liu