BDS Lab
Our Biomedical Data Science (BDS) Lab contains a multidisciplinary team with expertise in clinical, biomedical data science, chemistry, cybersecurity, human factors, artificial intelligence, and machine/deep learning modeling, providing our team with the experience and expertise to tackle some of the most pressing challenges in modern healthcare.
Research
Dr. Hembroff leads scientific research projects in collaboration with the medical institutions and public health software development for the healthcare adoption. The scope of his work includes deep learning techniques, computer vision, natural language processing, generative AI, medical image analysis, disease surveillance, and healthcare interoperability and cyberseruity.
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Motivation
Dr. Hembroff’s passion for improving human health drives him to tackle complex healthcare challenges through innovative applications of biomedical data science and health informatics. His research projects demonstrate his commitment to developing robust solutions that enhance patient care and outcomes.
PhD Students
2024-2025 Advising
The following Computational Science & Engineering students are being
advised or co-advised by Dr. Hembroff in their doctoral research:
Harikrishnan
C.
MS in Data Science
Doctoral research focused on Medical Image Segmentation using Artificial Intelligence and Deep Learning Techniques
Chethana
Kadirimangalam
MS in Health Informatics
Doctoral research focused on Intervention efficacy, Resource Optimization Modeling and Cost-effective Strategic Mental Health Intervention Modeling
Abel
Reyes
MS in ECE
Doctoral research focused on Medical Image Segementation and Computer Vision using Artificial Intelligence and Deep Learning Techniques
Tim
Van Wagner
MS in Health Informatics
Doctoral research focused on Blockchain for Secure Distributed Patient Data Auditing and Privacy-Perserving Health Large Language Models (LLMs)