I am currently on the job market for tenure-track faculty positions in EE/CS (computational imaging, computer vision, signal processing). Please contact me for my application materials if you are hiring!
Imagine a camera with orders of magnitude higher dynamic range than the human eye. Imagine a camera that can capture laser-scan quality 3D structures from several miles away. Imagine a camera that can "see" inside the human body without invasive surgical procedures.
I design cameras of the future that can visualize structures and phenomena that are otherwise invisible to the human eye.
My research is in the field of computational imaging, at the intersection of optics, image sensors, signal processing, and machine learning. Recently, I have been working with single-photon avalanche diodes, an extremely sensitive sensor technology capable of detecting ultra-low intensity light, down to individual photons.
This technology has implications for myriad applications—from astronomy to microscopy, consumer photography to medical imaging, from autonomous driving to industrial machine vision.
November 2020 I gave a talk at Technion Pixel Club computer vision colloquium.
September 2020 My talk on single-photon 3D cameras won the Best Blitz Talk (People's Choice) Award at the UW-Madison Postdoctoral Research Symposium.
June 2020 Invited talk at the Computational Cameras and Displays Workshop CVPR 2020
May 2020 Talk at SPIE-DCS 2020
November 2019 Our paper on single-photon 3D imaging won the Marr Prize Honorable Mention award at ICCV 2019 in Seoul, South Korea.
June 2019 Two oral presentations at CVPR 2019 in Long Beach, CA.
I received the Ph.D. in Electrical Engineering from the University of Wisconsin-Madison in 2015. My research interests include computational imaging and signal processing. I was a visiting ultrasound R&D engineer at Philips Healthcare in Andover, MA in 2013 and 2014 and a Research Scientist at Fitbit, Inc. in Boston, MA in 2016-2017. I am currently a postdoctoral researcher in the Departments of Computer Science and Biostatistics at University of Wisconsin-Madison.
Some of my recent work focuses on single-photon computational imaging. Single-photon cameras are an emerging sensor technology with extreme sensitivity down to individual photons. They have the potential to enable extreme imaging applications that are beyond the capabilities of conventional cameras.
Single-Photon 3D Imaging
ICCV 2019 Marr Prize Honorable Mention
Extreme sensitivity is a double-edged sword. Single-photon detectors suffer from severe distortion when operated in bright sunlight; they get overwhelmed by background photons. We develop optimal data acquisition strategies that mitigate this distortion and enable high resolution 3D imaging even under bright sunlight.
Passive Imaging with SPADs
CVPR 2019 oral presentation
Single-photon sensors are typically used in active imaging applications like LiDAR. We ask: what information can single-photon sensors provide for passive imaging? By exploiting the non-linear response characteristics we show a single-photon camera can provide over 1,000,000:1 in dynamic range.