Developed novel optical techniques techniques for label-free detection of neural activity in tissue, and analysis techniques for studying computations in populations of retinal neurons.
• designed and built an ultra high-speed (5,000--20,000 fps acquisition rate, 1.2 GB/s data bandwidth), wide-field, low-noise (< 1.5 mrad RMS) interferometric microscope for label-free optical imaging of neural activity
• implemented a swept-source phase-resolved optical coherence tomography instrument for quantifying light-induced changes in retinal photoreceptors
• supervised graduate students: directed the development of a novel algorithm for processing time series recordings of retinal activity in MATLAB, supervised the implementation of signal-processing algorithms for retinal prosthetic applications, and guided the prototyping of a digital phase contrast microscope
• transformed a large monolithic Java application for visualizing and analyzing neural data streams into a distributed, multi-process, multi-threaded utility using ZeroMQ