个人简介
刘喆，女，1997年10月出生，浙江衢州人，华东理工大学信息科学与工程学院计算机系讲师，博士毕业于上海交通大学，CCF生物信息学BIO-3NEW青年学者委员。以第一作者（含共同）身份在Nature Computational Science，Advanced Science，Research，Big Data Mining and Analytics (BDMA)，Journal of Chemical Information and Modeling(JCIM)，BMC Genomics，BIBM，APBC等期刊或会议发表论文十余篇，主要从事AI for Science研究，包括基于计算方法的（非编码）突变效应预测、蛋白结构预测，以及AI在精神疾病领域的应用等。 欢迎科研合作，也欢迎对我的科研方向感兴趣的同学联系我！ 学术主页：https://liuzhe30.github.io/
研究领域
- AI for Science
- 计算生物学与生物信息学
- 人工智能与智慧医疗
学术成果
- 1. Zhe Liu, et al. Predicting the regulatory impacts of non-coding variants on gene expression through epigenomic integration across tissues and single-cell landscapes，Nature Computational Science. (2025 IF=18.3)
- 2. Zhe Liu, et al. Epigenetic impacts of non-coding mutations deciphered through pre-trained DNA language model at single-cell resolution，Advanced Science. (2025 IF=14.1)
- 3. Zhe Liu, et al. MIPPI: Inferring the effects of protein variants on protein–protein interactions with interpretable transformer representations，Research. (2023 IF=11)
- 4. Zhe Liu, et al. Large Language Models in Psychiatry: Current Applications, Limitations, and Future Scope，Big Data Mining and Analytics. (2024 IF=7.7)
- 5. Zhe Liu, et al. Emden: A novel method Intergrating Graph and Transformer Representation for Predicting the Effect of Mutations on Clinical Drug Response，Computers in Biology and Medicine. (2023 IF=7.7)
- 6. Zhe Liu, et al. MEMO-stab: Sequence-based Annotation of Mutation Effect on Transmembrane Protein Stability with Protein Language Model-Driven Machine Learning，BIBM 2024 (CCF-B)
- 7. Zhe Liu, et al. Predicting Psychosis Progression in Clinical High-Risk Individuals Using Peripheral Transcriptomic and Epigenomic Profiles: A Machine Learning Approach，BIBM 2024 (CCF-B)
社会兼职
- CCF生物信息学 "BIO-3NEW"青年学者委员
教育经历
- 2016-09 至 2020-06,东北师范大学,大学本科
- 2020-09 至 2025-06,上海交通大学,博士研究生
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