The Macesic Lab investigates antimicrobial resistance (AMR) as a dynamic clinical and biological system shaped by pathogens, patients, healthcare practices, and the environments in which care is delivered. Rather than viewing resistance as a static genetic trait, we study AMR as an evolving process driven by selective pressures, transmission networks, and real-world clinical decisions.

We integrate genomics, proteomics, artificial intelligence, and electronic health record data to uncover how resistance emerges, how it spreads within hospitals and communities, and how it can be identified earlier and managed more effectively. Our work spans discovery of hidden reservoirs and transmission pathways, development of AI-enabled diagnostic and surveillance tools, and translation of these insights into interventions that inform clinical practice and policy.

As a clinician-led research group embedded within a health network, we are focused on impact. By bringing advanced sequencing and predictive analytics into frontline care, we aim to move from reacting to AMR infections to anticipating and preventing them. This enables more precise therapy, earlier detection of high-risk situations, and smarter strategies to reduce transmission and improve patient outcomes.

Our mission is to generate rigorous scientific insights that directly change decisions and reduce the burden of AMR in healthcare systems worldwide.