Sriharsha Mopidevi, MS
Senior Application Developer
Sriharsha Mopidevi is a Senior Application Developer in the Artificial Intelligence for Ambulatory Care Innovation (AI-4-AI) Lab in the Department of Biostatistics, Epidemiology, and Informatics at the University of Pennsylvania. With more than five years of experience in software engineering, he specializes in building scalable, cloud-based solutions that advance biomedical research and clinical innovation.
In the AI-4-AI Lab, Sriharsha develops software tools, data pipelines, dashboards, and de-identification techniques that enable the secure and efficient use of multimodal datasets in ambulatory care research. His work includes designing high-accuracy medical audio-visual de-identification systems, developing large-scale Databricks workflows to support real-time data exploration, and leading the creation of a multimodal FAIR data repository that enhances collaboration and facilitates seamless analysis of complex datasets.
By integrating expertise in software engineering, cloud computing, machine learning, and biomedical informatics, Sriharsha contributes to the lab’s mission of designing and testing digital health solutions that improve the science and practice of medicine.
Research Areas
Artificial Intelligence/Machine Learning, Data Integration, Digital Health Data
Education
- MS, Computer Science, PACE University 2023
Contact
Email: sriharsha.mopidevi@pennmedicine.upenn.edu
🎓 Google Scholar
🔗 GitHub
Research Highlights
MedVidDeID
Overview: An opensource comprehensive medical data de-identification pipeline that removes Protected Health Information (PHI) from multi-modal medical data including video, audio, and text.