At the CARE AI Lab, we believe in creating Configurable, Actionable, Responsible, and Explainable AI solutions that have a transformative impact on healthcare. We stand at the forefront of leveraging ubiquitous computing, machine learning, and human-centered AI to enhance the predictability of risky health behaviors. 

• Configurable: We leverage ubiquitous computing to design AI systems tailored to individual health needs. Our solutions adapt to specific contexts, ensuring that interventions are personalized and effective.

• Actionable: Our work doesn't just predict; it empowers people. From predicting 30-day hospital readmissions for post-surgical cancer patients to forecasting high-risk behaviors in young adults, our AI provides actionable insights that enable proactive healthcare interventions.

• Responsible: Our focus on vulnerable populations underscores our commitment to responsible AI. By prioritizing health monitoring and support systems, we ensure that our innovations contribute ethically to the well-being of at-risk groups.

• Explainable: We understand the importance of transparency in healthcare decisions. Our AI solutions, while advanced, are designed to be explainable, allowing both healthcare professionals and patients to understand and trust the insights provided.

Our groundbreaking work, recognized with accolades such as the Best Paper Award in Cancer Informatics and features in prestigious venues like ACM and Forbes News, reflects our dedication to harnessing the full potential of AI for healthcare. By synergistically combining mobile sensing, machine learning, human-centric design, and our CARE principles, we aim to revolutionize health and safety behaviors, especially among vulnerable populations.

Current Members

Research Interns

Alumni

External Collaborators