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.

Teaching assistant for BIOE/RAD 220: Introduction to Imaging and Image-based Human Anatomy. Attended lectures and answered students questions in person and through email. Created weekly review presentations, and presented them as lectures during optional review sessions. Graded homework assignments. Provided additional one-on-one tutoring to students who requested additional assistance.

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.

Algorithm Development - Jupiter program: Developed innovative algorithm for planning and placing multiple SAR collections during a flight to achieve a large gap-less coverage area; Implemented new algorithm into MatLab radar simulation to predict performance for and support preliminary design reviewGround Station Systems Lead - Stag's Leap program:Lead ground station development team; Developed end-to-end data processing chain in MatLab for processing and delivering SAR (Synthetic Aperture Radar) data; Automated the processing chain and developed a simple user interface, saving significant engineering overhead; Developed software to automatically generate file format conversion code between MatLab and CSystems Engineering - JSF radar program and CMK radar program: Developed function to determine clutter to noise of SAR map based on known target characteristics; Derived new method of analyzing error probability of SAR target location; Lead novel effort for testing Navigation Utilities, saving the program significant time and money for flight test; Developed a new method of positioning spotlight SAR maps to form a strip mapSystem Integration & Test - JSF radar program: Developed and implemented new tests in MatLab, improved existing tests and user interfaces, and developed various simulations and parsing codes; Gained experience testing and integrating new hardware at a lab bench