Yamin Deng obtained her Ph.D. degree in Epidemiology and Health Statistics from Peking Union Medical College in July 2024. During her doctoral studies, she focused on the development and application of artificial intelligence and statistical models. Additionally, she has rich experience in bioinformatics, including genomics, proteomics, metagenomics, and single-cell analysis. In August 2024, Yamin joined the Guomics team as a postdoctoral researcher for proteomic big data research.

Representative Publications

Deng Yamin#, Han Shasha#, Liu Jue, Guo Li, Feng Luzhao, Liao Yilan, Peng Zhizeng, Ren Llili*, Yang Weizhong*, Wang Jianwei*. The risks of death and hospitalizations associated with SARS-CoV-2 Omicron declined after lifting testing and quarantining measures. Journal of Infection. 2023 May;86(5):e123-e125

Deng Yamin, He Tao, Fang Riling, Li Shaoyu, Cao Hongyan, Cui Yuehua*. Genome-Wide Gene-Based Multi-Trait Analysis. Frontiers in Genetics. 2020 May 19;11:437.

Deng Yamin, Fan Huifang Wu Shiman. A hybrid ARIMA-LSTM model optimized by BP in the forecast of outpatient visits. Journal of Ambient Intelligence and Humanized

Computing, 5517–5527 (2023).