Education: PhD

学历:博士


Research areas: Bioinformatics

研究领域:生物信息学


Research focus: Microbiome; Drug design; Clinical informatics

研究方向:微生物组 药物设计 临床信息学


Current position: Postdoc, Tongji University

当前单位:博士后,同济大学



Work Experience
工作经历

· Mar. 2022-Present: Postdoctoral fellow, Biomedical Engineering, Tongji University, Shanghai, China

20223至今:同济大学 生物医学工程博士后流动站生物信息系 博士后


Education 教育背景

· PhD: Dec. 2021, Biomedical Informatics, University of Cincinnati, Cincinnati, OH, USA

20168——202112月:辛辛那提大学 医学院生物医学信息学专业 博士

· BS: Jun. 2016, Bioinformatics, School of Life Sciences and Technology, Tongji University, Shanghai, China

20129——20166月:同济大学 生命科学与技术学院生物信息学专业 本科


Publications (SCI paper: 3; first-author SCI paper: 3)

同行评议论文(发表SCI论文3篇(其中3篇为第一作者))

1. Liu, L., Zhu, R., and Wu, D. (2023). Misuse of reporter score in microbial enrichment analysis. iMeta, 2, e95.

2. Wu, D., Liu, L., Jiao, N., Zhang, Y., Yang, L., Tian, C., Lan, P., Zhu, L., Loomba, R., and Zhu, R. (2022). Targeting Keystone Species Helps Restore the Dysbiosis of Butyrate-Producing Bacteria in Nonalcoholic Fatty Liver Disease. iMeta, 1, e61.

3. Liu, L., Wu, DTY., Spooner, SA. and Ni, Y. (2021). Development and evaluation of an automated approach to detect weight abnormalities in pediatric weight charts. AMIA Annual Symposium proceedings, 2021, 783–792. [Conference paper]

4. Liu, L., Ni, Y., Beck, A. F., Brokamp, C., Ramphul, R. C., Highfield, L. D., Kanjia, M. K., & Pratap, J. N. (2021). Understanding pediatric surgery cancellation: geospatial analysis. Journal of Medical Internet Research, 23(9), e26231.

5. Van Camp, P. J., Mahdi, C. M., Liu, L., Ni, Y., Spooner, S. A. and Wu, D. (2019). Development and preliminary evaluation of a visual annotation tool to rapidly collect expert-annotated weight errors in pediatric growth charts. Studies in Health Technology and Informatics, 264, 853–857. [Conference paper]

6. Liu, L., Ni, Y., Zhang, N. and “Nick” Pratap, J. (2019). Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children’s surgery. International Journal of Medical Informatics, 129, 234-241.

7. Liu, L., Tsompana, M., Wang, Y., Wu, D., Zhu, L. and Zhu, R. (2016). Connection map for compounds (CMC): a server for combinatorial drug toxicity and efficacy analysis. Journal of Chemical Information and Modeling, 56(9), 1615-1621.


Academic Conference 会议交流

1. Lei Liu, Danny T Y Wu, S Andrew Spooner and Yizhao Ni. Development and evaluation of an automated approach to detect weight abnormalities in pediatric weight charts. AMIA 2021 Annual Symposium. Oral presentation. San Diego, CA.

2. Lei Liu, P J Van Camp, C Monifa Mahdi, S Andrew Spooner, Danny T Y Wu and Yizhao Ni. Development and evaluation of a machine learning-based approach to detect weight errors in pediatric growth charts. AMIA 2019 Annual Symposium. Oral presentation. Washington, DC.

3. Lei Liu, Yizhao Ni, Andrew F Beck, Cole Brokamp, Megha Kanjia and J “Nick” Pratap. Geospatial analysis to understand pediatric surgery cancellation. Graduate Student Research Forum 2019, University of Cincinnati. Poster. Cincinnati, OH.

4. Lei Liu, Yizhao Ni, Andrew F Beck, Cole Brokamp, Megha Kanjia and J “Nick” Pratap. Geospatial analysis to understand pediatric surgery cancellation. AMIA 2019 Clinical Informatics Conference. Oral presentation. Atlanta, GA.

5. Lei Liu, Nanhua Zhang, Yizhao Ni and J “Nick” Pratap. Leveraging electronic health record data to predict surgery cancellation. Graduate Student Research Forum 2018, University of Cincinnati. Poster. Cincinnati, OH.

6. Lei Liu, Nanhua Zhang, Yizhao Ni and J “Nick” Pratap. Leveraging electronic health record data to predict surgery cancellation. AMIA 2018 Clinical Informatics Conference. Oral presentation. Scottsdale, AZ.


Honors and Awards 获得荣誉

1. 2021, Eight student paper finalists in the AMIA 2021 Annual Symposium  

    AMIA 2021年度研讨会学生论文八强

2. 2019, Graduate Student Research Forum 2019, University of Cincinnati (3rd place)  

       辛辛那提大学2019年研究生学术论坛第三名


Community Involvement 社会服务

1. AMIA 2020 Annual Symposium. Reviewer.

2. AMIA 2019 Annual Symposium. Reviewer.


朱瑞新 博士  教授
rxzhu@tongji.edu.cn


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