Faster phage matching for antibiotic-resistant infections

We are pushing precision phage therapy forward by discovering faster, smarter ways to match phages to infections and turn bold ideas into real-world impact.

Explore our research
Team BATTLE group photo on campus steps

Why this work matters

Antimicrobial resistance is increasing globally, and many infections are becoming harder to treat with standard antibiotics alone. Phage therapy offers a promising alternative because phages can selectively target harmful bacteria.

The challenge is speed: matching the right phage to the right bacterial strain often requires extensive testing. Team BATTLE is developing computational tools to prioritize the best phage candidates sooner, then validate predictions through experiments.

Our focus

Predict phage-host interactions more accurately and model treatment dynamics with clinically relevant outcomes.

Our approach

Integrate machine learning, simulation, and iterative wet-lab feedback into one applied research pipeline.

Our goal

Support more effective, personalized phage-based treatment strategies against resistant bacterial infections.

Learn more. Visit the Research page.