教育背景
2005-2009 武汉大学生命科学学院学士
2009-2012 中科院上海生命科学研究院研究生
2012-2014 New York University Tandon School of Engineering计算机科学硕士
2014-2019 New Jersey Institute of Technology计算机科学博士
工作经历
2019-2023 University of Pennsylvania, Children’s Hospital of Philadelphia博士后研究员
2024至今 半岛平台教授、博导、国家海外高层次青年人才
田天教授专注于生物大数据的人工智能算法，围绕生物组学数据中的高噪音、高维度、多组学融合、批次多样性等计算挑战为关键科学问题，开发创新人工智能算法，取得了具有一定影响力的学术成绩。同时将创新算法应用于实验数据挖掘分析并帮助领域专家解决重大生物医学问题。近年来共发表SCI学术论文30余篇，其中以第一作者在生物信息学国际主流学术期刊发表研究论文11篇，包括 Nature Methods、Nature Machine Intelligence、 Nature Communications、Genome Research、EBioMedicine等，合作成果发表于Nature Medicine、Cancer Discovery、PNAS等，并且担任Frontiers in Genetics和BMC Bioinformatics等期刊编辑。目前Google Scholar总引用2900余次，单篇研究性论文最高引用230余次。获得 2023年国家海外高层次人才青年项目。
个人主页：https://scholar.google.com/citations?user=tSUUGyAAAAAJ&hl=en
课题组招收硕士和博士研究生，请将简历发送至tiantianwhu@163.com。
代表性学术论文（参考文献格式）：
[1] T. Tian, Z. Wei, X. Chang, Y. Liu, RE Gur, PMA Sleiman, H. Hakonarson, The Long Noncoding RNA Landscape in Amygdala Tissues from Schizophrenia Patients, EBioMedicine (2018) 34, 171181
[2] T. Tian, J. Wan, Q. Song, Z. Wei, Clustering Single-cell RNA-seq Data with A Model-based Deep Learning Approach, Nature Machine Intelligence (2019) 1 (4), 191–198.
[3] T. Tian, J. Zhang, X. Lin, Z. Wei, H. Hakonarson. Model-based Deep Embedding for Constrained Clustering Analysis of Single-cell RNA-seq Data. Nature Communications (2021) 12 (1), 1-12.
[4] T. Tian, C. Zhong, X. Lin, Z. Wei, H. Hakonarson. Complex hierarchical structures in single-cell genomics data unveiled by deep hyperbolic manifold learning. Genome Research (2023) 33 (2), 232-246.
[5] T. Tian, J. Zhang, X. Lin, Z. Wei, H. Hakonarson. Dependency-aware deep generative models for multitasking analysis of spatial genomics data. Accepted by Nature Methods (2024).
[6] F. Tan *, T. Tian* , X. Hou, X. Yu, L. Gu, F. Mafra, B. Gregory, Z. Wei, H. Hakonarson, Elucidation of DNA Methylation on N6 -Adenine with Deep Learning, Nature Machine Intelligence (2020) 2 (8), 466-475. (* co-first authors).
[7] L. Xiang* , T. Tian* , Z. Wei, H. Hakonarson. Clustering of single-cell multi-omics data with a multimodal deep learning method. Nature Communications (2022) 13(1), 1-18. (* co-first authors).
[8] P. Jia*, T. Tian*, Z. Li, Y. Wang, Y. Lin, W. Zeng, Y. Ye, M. He, X. Ni, J. Pan, X. Dong, J. Huang,C. Li, D. Guo, P. Hou. CCDC50 promotes tumor growth through regulation of lysosome homeostasis. EMBO reports (2023) 24 (10), e56948. (*co-first authors)
