Our Research
Building the Future of
Intelligent Health Systems
We pioneer AI methodologies that bridge computational innovation with real-world veterinary, human, and environmental health challenges—creating systems that learn, adapt, and transform care delivery.
Our Research Themes
Three interconnected pillars define our approach to advancing One Health through artificial intelligence—from human-centered design to data infrastructure to translational impact.
Agentic & Augmented Clinical AI
We design and study agentic, generative, and multimodal AI systems that support—not replace—clinicians. Our work emphasizes "augmented intelligence," ensuring that AI tools enhance decision-making while keeping humans in the loop. We explore how clinicians interact with intelligent systems, how liability and responsibility shape their use, and how AI can elevate care delivery across both veterinary and human medicine.
Data, Standards & the AI Lifecycle
Advancing AI in practice requires more than algorithms. We investigate the full pipeline: high-quality multimodal data curation, scalable annotation strategies, privacy-preserving data sharing, and robust evaluation metrics. Our work spans creating benchmarks for veterinary and One Health contexts, developing interoperable informatics standards, and exploring mobile and edge-deployed AI for resource-limited environments.
Precision & One Health Informatics
We aim to advance personalized and precision medicine by integrating multi-omic data (genomics, transcriptomics, proteomics) with morphometrics across scales—from pathomics to radiomics. By bridging veterinary and human EHR systems, we pursue a unified One Health approach that enables cross-species insights, comparative studies, and translational impact on animal, human, and planetary health.
Building the Future
As a newly established lab, we're assembling the team, partnerships, and infrastructure to tackle some of the most pressing challenges at the intersection of AI and One Health.
Veterinary & Comparative Medicine
Bridging the gap between animal and human health through shared AI infrastructure, cross-species learning, and translational research that benefits both veterinary and human medicine.
Clinical Decision Support
Designing intelligent systems that augment clinician expertise, respect professional autonomy, and navigate the complex landscape of liability, trust, and human-AI collaboration.
Open Data & Reproducible Science
Building transparent, well-documented datasets and benchmarks that advance the field while maintaining privacy, ethical standards, and scientific rigor.
Join Our Mission
We're actively seeking graduate students, postdocs, and collaborators who are excited about shaping the next generation of AI systems for health. Whether you're coming from computer science, veterinary medicine, biomedical informatics, or public health—if you're passionate about making a real-world impact, we want to hear from you.
Get in Touch