A recurrent neural network for automatic polyphonic music transcription trained using the MusicNet dataset. Special interest is given to the learned temporal structure of music. Produced in fulfillment of the Stanford CS 229: Machine Learning final project.

A novel method for single-shot high-dynamic-range imaging is presented. This method is demonstrated to produce hdr images from a single shot without explicit use of deep learning, relying on spatially varying exposure and compressed sensing techniques. Produced in fulfillment of the Stanford EE 367: Computational Imaging final project.

A fully autonomous "search and rescue" mission was carried out in simulation. This work incorporates techniques such as autonomous frontier exploration, A-star path planning coupled with real trajectory controllers, and EKF SLAM. Produced in fulfillment of the Stanford AA 274: Principles of Robot Autonomy final project.

A fast-field cycling method for molecular imaging using MRI. This MSc thesis work focused on the effects of field-shift inhomogeneities in dreMR imaging and minimization of such inhomogeneities through an improved design method.