Kavya Subramanain
Kavya is a rising junior at Boston University majoring in Mathematics and Computer Science on a full-tuition merit scholarship (Trustee Scholarship). She is an AI/ML Fellow at MIT’s Break Through Tech AI Fellowship, a researcher in the Computational Neuroscience and Vision Lab, and also serves as the Vice President of BU’s Girls Who Code chapter. Kavya is passionate about leveraging SciML to drive innovations at the intersection of medicine and technology.
Session
Forecasting tumor growth is critical for optimizing treatment, yet traditional models like Gompertz and Bertalanffy equations struggle with patient-specific variability. We leverage Universal Differential Equations (UDEs) and Neural ODEs, integrating Scientific Machine Learning (SciML) to replace rigid terms with adaptive neural networks. This enables real-time learning from patient data, uncovering hidden dynamics beyond classical models to improve clinical outcomes.