Position Description:
We are seeking a Graduate Research Assistant (GRA) for the Informatics-enhanced Social Networks and Affiliation Processes (ISNAP) project, which will promote risk reduction and early detection of Alzheimer’s Disease and Related Dementias (ADRD). The ISNAP project aims to leverage large language models and social network data to examine information-seeking and care-seeking behaviors of at-risk individuals. This project integrates qualitative analysis with machine learning to examine social media data and develop a framework.
In this role, the candidate will contribute to the development of automated methods for qualitative coding of large datasets of interactions in online forums and will assist with implementing machine learning techniques tailored for peer interactions, which will enable the assignment of multiple qualitative labels based on the context of the imbedded text. Additionally, the candidate will help evaluate the effectiveness of unsupervised pre-training models utilizing external sources (such as Wikipedia and other social media messages) to enhance the analysis.
The chosen candidate must have an understanding of and experience with biomedical informatics concepts and statistics or data science. Experience with Python, Scikit and topic modeling techniques is required. The Candidate should be able to carefully follow instructions, document their work accurately, and produce reliable results. This role requires a candidate with strong work and research ethics, dependability, accountability, and the ability to work effectively both independently and within a team environment.
Students interested in this position should contact Dr. Myneni at [email protected].
Contact:
Sahiti Myneni, PhD, MSE
Associate Professor
McWilliams School of Biomedical Informatics
Email: [email protected]
Last Update: 12/12/2024