United States
Ph.D. in Electrical and Computer Engineering | AI for Healthcare | Medical Imaging | Multimodal Learning I’m a researcher passionate about developing explainable and clinically impactful AI systems that address real-world healthcare challenges. My work lies at the intersection of machine learning, medical imaging, and human-centered system design. During my Ph.D., I led interdisciplinary projects involving deep learning, multimodal data integration (EHR, imaging, sensor signals), and clinical collaboration to support diagnosis, risk prediction, and decision support. Expertise: • Deep learning (CNNs, GANs, Transformers) • Medical image analysis (MRI, burn detection, keratoconus screening) • Multimodal modeling (EHR + time-series sensor data) • Explainable AI (SHAP, PIMP, feature attribution) • High-performance computing (GPU training, model deployment) I'm especially interested in applying AI to medical imaging, robotics, and human-centered mobility systems. My long-term goal is to lead impactful research at the intersection of AI, medicine, and systems engineering to improve patient outcomes and system efficiency. Let’s connect if you’re working on AI for healthcare, medical robotics, or interdisciplinary applications of machine learning.