Jiao Wang, Ph.D., focuses her practice on drafting and prosecuting patent applications directed to electrical engineering and computer-related technologies. Jiao possesses a unique combination of technical expertise in machine learning, artificial intelligence, signal processing, image processing, and computer software technology.
Prior to joining Fish & Richardson, Jiao worked as an individual contributor, a team member, and a manager in industries ranging from large companies to small startups. While working at GE Global Research Center, she conducted in-depth research in the areas of medical imaging systems, statistical image reconstruction, and data-intensive image processing. In one startup, Jiao was a managing research scientist, responsible for developing deep learning-based computer vision solutions to medical image analysis and diagnosis problems. While working at another previous role, Jiao was a lead software engineer, responsible for developing and implementing machine-learning-based financial technology for digital identity verification and mobile check deposit.
Jiao also has previous experience as a research fellow in the department of electrical engineering at University of Notre Dame, supported by GE Healthcare and its co-op programs, where she performed interdisciplinary research in the areas of electrical engineering, biomedical engineering, and computer science. During her doctorate study, Jiao invented and developed an advanced Markov random field regularization algorithm for computed tomography image reconstruction. The advanced Markov random field regularization algorithm is capable of flexible spectral emphasis and improving spatial resolution in reconstructed CT images. Jiao also developed an adapted non-convex optimization technique for efficient, reliable convergence. Jiao holds about 20 publications in refereed journals and conferences and is a named inventor in three U.S. patents. She is currently a J.D. candidate at University of San Diego School of Law.
Jiao has successfully argued during a Patent Trial and Appeal Board oral hearing for an appeal involving complex machine learning technology using a novel neural network, resulting in the Board reversing the examiner and allowing the patent application.
In her free time, Jiao enjoys practicing yoga and hiking with her husband and children.
U.S. Patent 10,140,544 Enhanced convolutional neural network for image segmentation
U.S. Patent 8,416,914 Systems and method of iterative image reconstruction for computed tomography
U.S. Patent 10,304,193 Image segmentation and object detection using fully convolutional neural network