My research aspirations lie in computer vision and visual security, with a focused lens at the bright side and dark side of deep generative models. My selected works include Contrast and Attention GANs, Scalable GAN Fingerprints, Artificial GAN Fingerprints, GAN Fingerprints, Inclusive GAN, Texture Mixer, and Defect Detection. My research was featured in media press such as thejiangmen, QbitAI, and foodplus. I am a recipient of Twitch (Amazon) Research Fellowship, Microsoft Young Fellowship, Qualcomm Innovation Fellowship Finalist x2, and SPIE Best Student Paper Finalist.