基本信息
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Bio
Degui Zhi, PhD, is founding chair of the Department of bioinformatics and systems medicine, the McWilliams School of Biomedical Informatics (MSBMI) at UTHealth Houston, formerly UTHealth Houston School of Biomedical Informatics (SBMI). He is the Glassell Family Professor and founding director of Center for AI and Genome Informatics (AIGI). He received his PhD in bioinformatics at UC San Diego. Before joining UTHealth, he was a tenured associate professor of statistical genetics at University of Alabama at Birmingham.
Dr. Zhi is interested in developing AI deep learning and informatics methods for biomedical big data. His team develops multiple generalist deep learning frameworks for the modeling of biobank-scale biomedical data. Recent works from the lab includes Med-BERT, a clinical foundation model for structured clinical data, gene2vec, a distributed representation embedding model for genes based their co-expression patterns, and several unsupervised deep learning models for deriving endophenotypes from imaging data for genetic discovery. His team also developed advanced PBWT-based data structures and algorithms for population genetics informatics.
His methodological research has been funded by multiple PI/MPI grants totaling over $20 million. His current funded projects cover topics in AI-powered brain imaging and retina imaging genetics, population genetics informatics, and EHR predictive modeling. He is also interested in using LLM and generative AI for scientific discovery. He has been teaching the first deep learning course at the Texas Medical Center since 2018. Dr. Zhi is an elected fellow of American College of Medical Informatics (ACMI).
Dr. Zhi is interested in developing AI deep learning and informatics methods for biomedical big data. His team develops multiple generalist deep learning frameworks for the modeling of biobank-scale biomedical data. Recent works from the lab includes Med-BERT, a clinical foundation model for structured clinical data, gene2vec, a distributed representation embedding model for genes based their co-expression patterns, and several unsupervised deep learning models for deriving endophenotypes from imaging data for genetic discovery. His team also developed advanced PBWT-based data structures and algorithms for population genetics informatics.
His methodological research has been funded by multiple PI/MPI grants totaling over $20 million. His current funded projects cover topics in AI-powered brain imaging and retina imaging genetics, population genetics informatics, and EHR predictive modeling. He is also interested in using LLM and generative AI for scientific discovery. He has been teaching the first deep learning course at the Texas Medical Center since 2018. Dr. Zhi is an elected fellow of American College of Medical Informatics (ACMI).
Research Interests
Papers共 214 篇Author StatisticsCo-AuthorSimilar Experts
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bioRxiv the preprint server for biology (2025)
Fang Li,Zenan Sun,Ahmed Abdelhameed,Tiehang Duan,Laila Rasmy,Xinyue Hu, Jianping He,Yifang Dang,Jingna Feng,Jianfu Li, Yichen Wang,Tianchen Lyu, Naomi Braun, Si Pham, Michael Gharacholou, Delisa Fairweather,Degui Zhi,Jiang Bian,Cui Tao
FRONTIERS IN CARDIOVASCULAR MEDICINE (2025)
Tamoghna Chattopadhyay, Pavithra Senthilkumar, Rahul H. Ankarath, Christopher Patterson,Emma J. Gleave,Sophia I Thomopoulos,Heng Huang,Li Shen,Lei You,Degui Zhi,Paul M. Thompson
biorxiv(2025)
medRxiv the preprint server for health sciences (2025)
bioRxiv the preprint server for biology (2025)
Communications chemistryno. 1 (2025): 108-108
CANCERSno. 3 (2025)
Hua Zhong,Jingjing Zhu,Shuai Liu,Dan Zhou,Quan Long,Chong Wu, Bingxin Zhao,Chao Cheng, Yaohua Yang, Qing Wu, Yong Wu,Changwei Li,Zhaoming Wang, Jianyong Wu,Xingyi Guo,Degui Zhi,Youping Deng,Lang Wu
Human molecular geneticsno. 12 (2025): 1026-1033
Genome researchno. 2 (2025): 326-339
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Author Statistics
#Papers: 214
#Citation: 7904
H-Index: 44
G-Index: 86
Sociability: 7
Diversity: 4
Activity: 52
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