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Sang Won (Grace) Bae
Assistant ProfessorStevens Institute of Technology Hoboken, New Jersey
Director, CARE AI LabFounder & Director, Stevens HCI LabDirector, AI for Healthcare LabAffiliate Faculty, Stevens Institute for Artificial Intelligence (SIAI) Affiliate Faculty, Semer Center for Healthcare InnovationCo-organizer, Women@SSE Workshop
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Director, CARE AI LabFounder & Director, Stevens HCI LabDirector, AI for Healthcare LabAffiliate Faculty, Stevens Institute for Artificial Intelligence (SIAI) Affiliate Faculty, Semer Center for Healthcare InnovationCo-organizer, Women@SSE Workshop
Google Scholar Researchgate LinkedIn Faculty website
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
Current Members
Tongze Zhang
Tongze Zhang
Ph.D. Student, Systems Engineering
M.S. Computer Science
🏆 ABC Excellent Paper Award 2025
🏆 Best Student Paper Award 2024
🏆 Fabrycky-Blanchard Award 2023
Summer Internship and RA, Fall 2022
Melik Ozolcer
Melik Ozolcer
Ph.D. Student, Systems Engineering
B.S. Industrial and Systems Engineering
🏅 IEEE BHI 2025 NSF-EMBS-Google Sponsored Young Professional NextGen Scholar 2025
🏆 Fabrycky-Blanchard Award 2024
Summer Internship and RA, Fall 2022
Anlan Dong
Anlan Dong
Ph.D. Student, Systems Engineering
M.E. System Analytics
B.S. Electrical and Computer Engineering
Summer Internship, 2024
Undergraduate Research Interns
Undergraduate Research Interns
Dillon DeGuzman
Software Engineering
🏆 SE Undergraduate Research Program, 2025
Pre-College Program Research Interns
Pre-College Program Research Interns
Gellah Abdul-Latif
Hudson Catholic Regional High School
ACES STARS Pre-College Program, 2025
Sathvik Samant
The Lawrenceville School
Summer Internship Program, 2024
Graduate Research Interns
Graduate Research Interns
Priyanshu Singh Bisen
M.S. Applied Artificial Intelligence
B.E. Electronics and Communication Engineering
RA, Fall 2023 - Spring 2024
Ishan Garg
Ishan Garg
M.S. Computer Software Engineering
B.S. Computer Science
RA, Fall 2023
Haru Kaneko
Ph.D. Student,
Graduate School of Life Science and Systems Engineering,
Kyushu Institute of Technology
Summer Internship, 2024
Weiwei Tao
M.E. System Analytics
RA, Fall 2023
Weiwei Tao
M.E. System Analytics
RA, Fall 2023
Alumni
Alumni
External Collaborators
External Collaborators
Anind Dey, PhDDean and ProfessorUniversity of Washington Information School
Tammy Chung, PhDRutgers UniversityDepartment of Psychiatry
Brian Suffoletto, MDStanford UniversityDepartmentof Emergency Medicine
Yuuki Nishiyama, PhDThe University of Tokyo Center for Spatial Information Science (CSIS)
Denzil Ferreira, PhDUniversity of OuluCenter for Ubiquitous Computing
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