贾耿介课题组

贾耿介课题组

Gengjie (Jay) Jia Lab

　　课题组长

　　贾耿介，研究员、博士生导师，入选中国农科院青年英才、深圳海外高层次人才、国际计算生物学协会。2008年于中国科学技术大学本科毕业，2013年在新加坡国立大学和麻省理工学院联合培养项目取得博士学位。研究专长包括生物信息学、健康表型大数据（如电子病历和体检报告）挖掘、精准营养、自然语言处理、生物分子网络建模、以及多组学数据分析。过去十年内共发表SCI论文14篇，其中以第一或通讯作者在Nature Communications（2篇）、Metabolites、BMC Systems Biology、Bioinformatics 等发表学术论文8篇。

研究方向

通过开发分析多维度健康大数据和营养/膳食大数据的算法

1. 发掘复杂疾病亚型（通过共病模式的系统识别和多组学分析），解析其遗传学基础，进一步设计亚型特异的精准营养干预措施；

2. 描述疾病并发的模式规律，建立并发症风险预测模型，寻找最优膳食和（或）药物组合;

3. 阐释人体消化等系统、其间微生物群落、和食品营养三方的相互作用关系。

　　工作经历

　　2021/1至今爱彩人彩票，研究员

　　2016/6 – 2020/12 芝加哥大学，博士后

　　2013/1 – 2016/5 CGG公司数据处理分部，地球物理学家

　　教育经历

　　2008/7 – 2013/1 新加坡-麻省理工学院联盟，化学与制药工程博士；

　　2011/4 – 2011/10 瑞士苏黎世联邦理工学院，访问学习；

　　2004/9 – 2008/6 中国科学技术大学，生物学学士。

Principal Investigator

Gengjie (Jay) Jia is a principal investigator, doctoral advisor, and has been selected as a young talent of the Chinese Academy of Agricultural Sciences, an overseas high-caliber talent in Shenzhen, and a member of the International Society for Computational Biology. Dr. Jia obtained his bachelor degree from the University of Science and Technology of China in 2008 and his Ph.D. degree from Singapore-MIT Alliance (joint program between National University of Singapore and Massachusetts Institute of Technology) in 2013. His research expertise covers Bioinformatics, Health-related Phenotype Data (e.g., Electronic Health Records and Medical Reports) Mining, Precision Nutrition, Natural Language Processing, Biomolecular Network Modeling, and Multi-omics Data Analysis. In the past ten years, he has published a total of 14 research articles, including 8 first- or corresponding-author publications in Nature Communications ( ×2 ), Metabolites, BMC Systems Biology, Bioinformatics, etc.

Research Interests

Through algorithm development for analyzing multi-dimensional big health data and nutrition/dietary data

1. To discern subtypes of complex diseases (through system identification of comorbidity patterns and multi-omics data analysis), parse their underlying genetic bases, and design subtype-specific precision-nutrition interventions;

2. To describe disease co-occurrence patterns, build risk prediction models, and search for the optimal combinations of diets and (or) drugs;

3. To illuminate the tripartite relationship among human digestive systems, microbiota therein, and food nutrition.

Work Experience

2021/1 to date, Agricultural Genomics Institute at Shenzhen – Chinese Academy of Agricultural Sciences, Principle Investigator;

2016/6 – 2020/12, The University of Chicago, Postdoctoral Fellow;

2013/1 – 2016/5, Department of Data Processing at CGG, Geophysicist.

Education

2008/7 – 2013/1, Singapore-MIT Alliance, PhD in Chemical and Pharmaceutical Engineering;

2011/4 – 2011/10, ETH Zurich, Visit;

2004/9 – 2008/6, University of Science and Technology of China, Bachelor in Biological Science.

Selected Publications

1.G. Jia, Zhong, X., Im, H.K. et al. Discerning asthma endotypes through comorbidity mapping. Nature Communications 13, 6712 (2022).

2.G. Jia, Y. Li, H. Zhang, I. Chattopadhyay, A. B. Jensen, D. R. Blair, L. Davis, P. N. Robinson, T. Dahlén, S. Brunak, M. Benson, G. Edgren, N. J. Cox, X. Gao, A. Rzhetsky*, Estimating Heritability and Genetic Correlations from Large Health Datasets in the Absence of Genetic Data, Nature Communications, 10, 5508 (2019). (*corresponding authors)

3.G. Jia, G. Stephanopoulos, R. Gunawan*, Ensemble Kinetic Modeling of Metabolic Networks from Dynamic Metabolic Profiles, Metabolites, 2 (4), 891–912 (2012).

4.G. Jia, G. Stephanopoulos, R. Gunawan*, Incremental Parameter Estimation of Kinetic Metabolic Network Models, BMC Systems Biology, 6, 142 (2012).

5.G. Jia, G. Stephanopoulos, R. Gunawan*, Parameter Estimation of Kinetic Models from Metabolic Profiles: Two-phase Dynamic Decoupling Method, Bioinformatics, 27 (14), 1964–1970 (2011).

6.B. Chicoine, A. Rivelli, V. Fitzpatrick*, L. Chicoine, G. Jia, A. Rzhetsky, Prevalence of Common Disease Conditions in a Large Cohort of Individuals with Down Syndrome in the United States, Journal of Patient-Centered Research and Reviews, 8(2), 86-97 (2021).

7.X. Zhong*, Z. Yin, G. Jia, D. Zhou, Q. Wei, A. Faucon, P. Evans, E. R. Gamazon, B. Li, R. Tao, A. Rzhetsky, L. Bastarache, N. J. Cox*, Electronic Health Record Phenotypes Associated with Genetically Regulated Expression of CFTR and Application to Cystic Fibrosis, Genetics in Medicine, 22, 1191–1200 (2020).

8.C. Zhang, H. Tu, G. Jia, T. Mukhtar, V. Taylor, A. Rzhetsky, S. Tay*, Ultra-multiplexed Analysis of Single-cell Dynamics Reveals Logic Rules in Differentiation, Science Advances, 5 (2019).

9.G. Jia, R. Gunawan*, Construction of Kinetic Model Library of Metabolic Networks, IFAC Proceedings, 45 (15), 952-957 (2012).

10.G. Jia, G. Stephanopoulos*, Incremental Parameter Estimation and Ensemble Kinetic Modeling of Metabolic Networks, Proceedings of AIChE Annual Meeting (2012).

11.G. Jia, G. Stephanopoulos, R. Gunawan*, Construction of Kinetic Model Library of Metabolic Networks from Dynamic Profiles, 8th International Workshop on Computational Systems Biology (2011).

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