Graduate Research Assistant (GRA) Position
Position Description:
Dr. Degui Zhi is looking for motivated students joining his team conducting informatics research for biomedical big data.
Requirements:
The candidate must be in a Ph.D. program (Master’s students with good experience are encouraged to inquire). The student must be enthusiastic about learning and developing new skills, and have experience in some or most of these areas:
- Machine Learning
- Deep Learning
- Experiences with Electronic Health Records data, genetic data, or brain imaging data
- Background in Math/Statistics
- Programming in Python/R/C++/java/Matlab
Please contact [email protected] to set up a WebEx interview. Recruitment will be conducted on a rolling basis until all positions are filled.
Selected topics and representative recent publications by group:
- Population genetics informatics
A Naseri, X Liu, K Tang, S Zhang, D Zhi. “RaPID: ultra-fast, powerful, and accurate detection of segments identical by descent (IBD) in biobank-scale cohorts.” Genome biology 20 (1), 143, 2019
- Modeling of electronic health record (EHR) using deep learning
L Rasmy, Y Xiang, Z Xie, C Tao, D Zhi. “Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction” npj Digital Med. 4, 86 (2021)
- Imaging genetics using deep learning
Z Xie, T Zhang, S Kim, J Lu, W Zhang, C Lin, M Wu, A Davis, L Giancardo, H Chen, S Wang, R Chen*, D Zhi*. “iGWAS: image based genome wide association of self-supervised deep phenotyping of the human medical images”, in preparation, 2021
