Data Science for Clinical and Translational Science

Faculty Name:
Ram Gouripeddi

Department:
Biomedical Informatics

Faculty College:
Medicine

Email:
ram.gouripeddi@utah.edu


Project Description:

This project includes multiple areas of work depending on the interests of the student. It covers learning and using methods for data modeling, data manipulation, data transformation, semantics and many others. The main focus would be to utilize these methods for clinical, translational and environmental health research.



Opportunity Type:

Volunteer; Prepare a UROP proposal


Student Role:

It covers learning and using methods for data modeling, data manipulation, data transformation, semantics and many others.


Student Benefits:

Learning novel data science methods as they might apply to health data.


Project Duration:

Depending on student availability.


Minimum Requirements:

ready to learn new methods with minimum supervision