Welcome to Dr. Jirong Yi's webpage.

Short bibliography: I received B.S. degree in mathematics from Harbin Engineering University in June, 2015. After that, I worked in the Department of Electrical and Electronic Engineering for one year at Southern University of Science and Technology where my research focused on convex optimization and its applications in signal detection and estimation. I received a PhD degree in computer engineering from University of Iowa under supervision of Prof. Weiyu Xu and Xiaodong Wu in May, 2021. My work at University of Iowa focused on large scale convex optimization and the mathematical foundations of machine learning and deep learning with applications in biomedicine. I then spent two years with the Computer-aided Diagnosis Science team at Hologic Inc where I worked on image classification, image object detection and their applications in diagnostic breast imaging. At Hologic Inc, I led and drove the R&D of core object detection module and image classification modules of the 2nd and 3rd generation of GAID product. I have been with Prof. Piotr Slomka's team at Cedars Sinai Medical Center since Oct, 2023, and working on SPECT/CT and PET/CT image analysis, and their applications in cardiovascular disease diagnosis and risk stratifications. My research leads to publications in top venues in the field such as Lancet Digital Health, European Heart Journal, IEEE Transactions on Information Theory, Information and Inference: a Journal of the IMA, and IEEE International Symposium on Information Theory, commercial products launched to the market such as GAID, and patents.

Research summary: My expertise includes machine/deep learning, mathematical optimization, statistical signal/image processing, and medical image analysis. I'm interested in machine learning/deep learning such as efficient algorithms design, and their applications in computer vision and biomedicine. My past research/development experience includes the adversarial robustness of deep learning systems, compressed sensing, large scale convex optimization, information-theoretical foundations of deep learning, computer vision, diagnostic image analysis, and cancer treatment planning. I'm interested in biomedical imaging and image analytics such as efficient and principled algorithms design, and their applications in biomedicine and healthcare. See my Research Statement (full, short). 

Education

• B.S., Information and Computing Science, Harbin Engineering University, Harbin, Heilongjiang, China, 2015

• M.S., Computer Engineering, University of Iowa, Iowa City, Iowa, USA, 2020

• Ph.D., Computer Engineering, University of Iowa, Iowa City, Iowa, USA, 2021

Professional Experience

• Postdoctoral Scientist, Division of Artificial Intelligence in Medicine, Cedars Sinai Medical Center, Los Angeles, California, USA 10/2023-Now

• Machine Learning Research Scientist, CAD Science, Hologic Inc, Santa Clara, California, USA, 09/2021-08/2023

• Engineer, Department of Electrical and Electronic Engineering, Southern University of Science and Technology, China, 07/2015-07/2016

Created on Mar 7, 2019. Last updated on Nov 29, 2023.