Recent development in computational imaging has led to a series of great discoveries in astronomy. Integrated with advanced computational tools, modern telescopes continue pushing the boundaries of astronomical imaging, making it possible to observe many scientific phenomena in extreme conditions. In this talk, I will introduce a series of innovative computational imaging tools we have developed for black hole and exoplanet observations, including 1) a deep learning image reconstruction method for interferometric black hole imaging using the Event Horizon Telescope (EHT) and 2) an efficient sensorless adaptive optics system for high contrast exoplanet imaging in space telescope.

BIO

He Sun is an assistant professor in College of Future Technology at Peking University. His research primarily focuses on computational imaging and adaptive optics, which tightly integrates optics, control, signal processing and machine learning to design more capable scientific imaging instrument. Prior to starting at Peking University, He was a postdoctoral researcher and Amazon AI4Science Fellow at Caltech. He obtained his Ph.D. from Princeton University in 2019 and his bachelor’s degree from Peking University in 2014.