I am currently a Postdoctoral Researcher in the Computational Imaging Lab at Stanford University. I received my Ph.D. in electrical engineering from Boston University in 2020, during which I was supported by a Draper Fellowship.
My research lies at the intersection of optics, electronics, signal processing, mathematical modeling, and computer vision. So far, my work has focused on expanding the capabilities of single-photon lidar systems, from increasing acquisition speed, temporal resolution, and robustness to ambient light to seeing around corners.
Seeing Around Corners with Edge-Resolved Transient Imaging published in Nature Communications!
Dithered depth imaging, describing how depth resolution can be improved in quantization-limited time-of-flight systems, is published in the "3D Image Acquisition and Display: Technology, Perception and Applications" feature issue of Optics Express.
Advances in Single-Photon Lidar for Autonomous Vehicles: Working Principles, Challenges, and Recent Advances published in IEEE Signal Processing Magazine
Officially graduated with my PhD in Electrical Engineering from Boston University, moved to California, and started a postdoc at Stanford in the Computational Imaging Lab
Excited to have two papers published in the same issue of IEEE Transactions on Signal Processing: Estimation From Quantized Gaussian Measurements: When and How to Use Dither and Dead Time Compensation for High-Flux Ranging
Won a Best Student Paper Award at ICIP 2018 for a paper on dither in lidar systems
Paper on single-photon lidar in high ambient light published in IEEE Transactions on Computational Imaging: A Few Photons Among Many: Unmixing Signal and Noise for Photon-Efficient Active Imaging
Ph.D., Electrical Engineering
2014 - 2020
B.S., Electrical Engineering
2010 - 2014