AI/Machine Learning/Data Science

G. Hamilton Baker, M.D.

Jason Erno

(COM student Class of 2023)
erno@musc.edu

The mission of the MUSC AI Hub is to expand and promote the use, understanding and research of artificial intelligence and related technologies at MUSC. The goal is to weave artificial intelligence into MUSC’s tripartite mission to optimize human health through patient care, research, and education. The AI Hub aims to create productive relationships that produce high quality research that solidifies MUSC as a leader in this field. This survey is designed to connect you to a research project in AI/Machine Learning/Data Science.

Click on this link to go to the survey.

Alexender Alekseyenko, Ph.D.

alekseye@musc.edu

We enable personalized healthcare by comprehensive understanding of host-microbiome interactions and integration of health data on individuals, communities and populations. We do this by developing interdisciplinary translatable methodologies for integration of microbiome data with patient information.

Students who have a potential interest in biomedical informatics, data science, machine learning or AI should contact Dr. Alekseyenko.

Please visit our web site for more information.

Charles Terry, M.D.

terrych@musc.edu

I'm an assistant professor in the Department of Medicine, Division of Pulmonary and Critical Care looking for a student with expertise in computer science and bioinformatics to help me with a research project.

My interest is primarily in pragmatic observational clinical research in critical care. Presently, I'm designing a project to study how we can diagnose and better characterize Acute Respiratory Distress Syndrome from a diverse dataset of mechanically ventilated patients. This is a multidisciplinary project with collaborations from BMIC, College of Health Professions, and the pulmonary and critical care divisions.

I'm looking for a student ideally with a background in computer science and coding experience in python to collaborate with mentors in the BMIC department who are experts in natural language processing. This would be an excellent project with high visibility and publication potential in the fields of machine learning, NLP, and pulmonary/critical care.