Sharon graduated with a Masters in Electrical Engineering from Caltech in June 2021. During her time at Caltech she was in the Adolph lab and Eberhardt group. She is working for a start-up in the Bay area. Prior to coming to Caltech, Sharon received her Bachelor of Science in Computer Science, in the Intelligent Systems track, at Columbia University. She has a background in machine learning and artificial intelligence, robotics, and natural language processing. Her past research experience includes developing neural network models of learning at the Parallel Distributed Processing Laboratory at Stanford University with Jay McClelland.
