Summary
Swetha Srikanthan is a Research Scientist II in AI with eight years of experience designing and validating medical imaging and treatment-planning algorithms at GE HealthCare, focusing on radiation oncology, radiology, nuclear medicine, neuroimaging, and cardiac imaging. She holds an MS in Computer and Information Sciences from Case Western Reserve University, where she also contributed as a graduate researcher exploring scalable relational-to-multiple-instance learning formulations and taught graduate and capstone machine learning courses. Her background blends practical clinical AI deployment with deep research in weakly supervised 3D CNNs for multi-modal MRI lesion detection and optimized algorithm development for large synthetic datasets. Known for bridging theory and product, she has experience improving multilingual string-matching pipelines and prototyping clinical-grade models that prioritize organ- and patient-level predictions over per-lesion labels. Based in Cleveland, she brings a multidisciplinary approach that couples rigorous academic work with real-world healthcare impact.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer and Information Sciences, Master of Science - MS, Computer and Information Sciences at Case Western Reserve University
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at College of Engineering, Guindy
English, Tamil, Hindi, Korean, Spanish