Sathya Edamadaka

Sathya Edamadaka is a dedicated researcher and engineer with extensive experience in computational materials science, deep learning, and software engineering. Currently serving as a Computational Materials Science Intern at Apple, Sathya also contributes to research at Stanford University's School of Engineering, focusing on high-conductivity polymer discovery using advanced neural networks. As a Deep Learning Researcher at Stanford School of Medicine, Sathya developed a state-of-the-art convolutional neural network model for detecting rib fractures, achieving exceptional recall and precision metrics. Leadership in the CS Department at Stanford demonstrates strong teaching capabilities, while internships at prominent organizations like Nuro, Point72, and SLAC National Accelerator Laboratory showcase proficiency in embedded software development, data engineering, and high-energy density physics simulations. Sathya holds a PhD in Materials Science and Engineering from the Massachusetts Institute of Technology, along with an MS in Computer Science and dual BS degrees in Electrical Engineering and Physics from Stanford University.