Hi, my name is Sanjay Gorur
I enjoy coding, playing sports, and venturing!

Electronic health records contain valuable information in regards to patients’ features and can be manipulated to observe similarities where patients overlap to predict diagnoses. In order to detect such patient risk, a graph is constructed by extracting relevant features to relate patients in the EHRs and thus create a homogeneous graph to assess patient similarity. A novel GCN training algorithm alike Cluster-GCN is further used to predict mortality risk of patients by exploiting the graph clustering structure through node classification.

My senior design project focused on the prototyping of a federated learning framework that deploys in-network data aggregation. Furthermore, we intended to design an algorithm that adaptively decides how to route data and how to optimize the convergence rate of federated learning.

Check out my personal and professional projects using the link below. For more information on what I did during my recent software internships, please reach out to me on LinkedIn.