Mountain View, California, United States
Developing next generation lidar
Developed advanced volumetric MR thermometry, with specialized approaches for focused ultrasound brain treatments. Enabled high-resolution focal spot localization for potential treatment planning. Developed hybrid-update-rate monitoring that can monitor the treatment focus with 3 slices that have higher precision and update faster than current single-slice monitoring, while simultaneously monitoring the entire brain for unexpected heating.
Worked in various aspects of MRI, including sequence design, signal processing, noise analysis, and optimization. Studied MRI in various applications, including MR-guided focused ultrasound surgeries and fMRI. Developed and validated a new approach to multi-slice MRI temperature monitoring with improved performance. Generated improved framework for MRI thermometry that more than doubled available SNR vs conventional sequence. Developed novel signal processing approach for resting-state fMRI, that is able to identify and remove physiological confounds without a priori measurements. Worked with others in studying and modeling HIFU (high-intensity focused ultrasound) performance for brain applications.
Built community among Stanford graduate students by creating neighborhood events. Came up with new event ideas, then planned, advertised, and executed them. Worked with CAs from other neighborhoods to coordinate large events that would help students to meet new friends. Also received training for multiple aspects of crisis-handling, including earthquake response and suicide prevention, and served as a first line of interaction for graduate students to contact if they had any issues.
Worked with novel time-of-flight 3D camera systems, (similar technology to the Xbox One Kinect). Developed system characterization and simulation tools, to help with system design and to analyze potential behavior for system performance testing (such as WHQL). Analyzed behavior of noise in measurements, and used a model of that noise to design a novel image processing algorithm to improve measurement performance. Implemented a partially convex optimization scheme to determine ideal multi-frequency de-aliasing schemes given different hardware performance and specifications.