Bio: I've been a research fellow at Boston Children's Hospital, Harvard Medical School since 2023. I'm dedicated to pushing the boundaries of artificial intelligence through innovative models for diverse healthcare scenarios, aiming to elevate overall quality of life across physical, mental, and emotional dimensions. I completed my Ph.D. in Computer Science at the University of Virginia in early 2023, following my undergraduate/graduate studies at Shanxi University in 2017. I pursued further studies at Lehigh University and Washington University in St. Louis from 2017 to 2019.

Research Expertise: Within the field of computer science, my focus centers on machine learning and image analysis, addressing intricate tasks such as image registration, segmentation, classification, and reconstruction through advanced deep learning-based models. Collaborating in the healthcare domain, I closely work with clinical surgeons and radiologists on various applications. This includes the development of real-time tracking systems featuring automatic fetal head detection, navigation systems for real-time tumor excision surgeries, and the analysis and clinical treatment of Alzheimer's disease based on anatomical shape information. Please see my Google Scholar for more details. 

Marginals: In addition to my primary professional pursuits, I excel in diverse areas, including portable 3D printing, high-quality animation development, and algorithmic research in autonomous driving systems. I also explore philosophical, metaphysical, and quantum computing physics studies, delving into the impact of energy fields on our daily lives and their effects on brain states and well-being. I am open to sharing insights and exchanging knowledge with like-minded individuals.