Angelina Yang

I’m a 2nd year Electrical and Computer Engineering PhD candidate at Rice University in the Computational Imaging Lab, advised by Dr. Ashok Veeraraghavan. I find great satisfaction in delivering intelligent systems that address problems that traditional imaging pipelines struggle with. With a background in optical engineering and machine learning, I’m currently building end-to-end optimized, extended depth-of-field microscopes for low-cost cancer histopathology. I got my B.S. in Optical Engineering with a minor in Computer Science at the University of Rochester, where I was a student researcher at the Active Perception Lab advised by Dr. Jannick Rolland and Dr. Michele Rucci.

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Research interests:

Computational imaging, optics, artificial intelligence, end-to-end optimization, microscopy.

By combining an external display operating at 360 frames per second with an adaptive optics scanning laser ophthalmoscope (AOSLO) for human foveal imaging, we demonstrate color stimulus delivery at high spatial and temporal resolution in AOSLO psychophysics experiments. This high refresh rate display overcomes the temporal, spectral, and field of view limitations of AOSLO-based stimulus presentation, enabling natural monocular viewing of stimuli in psychophysics experiments conducted with AOSLO.

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