中文

Faculty

Yuelong JI

Yuelong JI

Yuelong JI

  • Assistant Professor
  • yuelong.ji@bjmu.edu.cn
  • Xueyuanlu 38., Haidian district, Beijing, China
Personal profile

Zhejiang   University

B.S.

2011

Pharmacy

University   of Southern California

M.S.

2013

Pharmaceutical   sciences

Johns   Hopkins University

M.S.P.H

2015

Maternal   and child health

Johns   Hopkins University

Ph.D.

2018

Maternal   and child health

Johns   Hopkins University

Postdoctoral   Fellow

2020

Molecular   Epidemiology

Peking University

Assistant Professor

2020-

Maternal   and child health

 

Main research directions

1.Early life origin of developmental and mental health

2.Machine learning application on real-word clinical data analysis.


Representative scientific research projects

1. 2001-2021Preterm birth, maternal and cord blood metabolome, and child metabolic risk (R01HD041702), Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD) at the National Institutes of Health (NIH), participated as Ph.D. student

2. 2014-2022MCH Autism Longitudinal Data Project R40MC27443UJ2MC31074Maternal and Child Health Bureau at the Health Resources and Services Administration (HRSA) , participated as Ph.D. student

3. 2018-2019Harness Big Data and Machine Learning to Develop Tools for Autism Risk Prediction and InterventionJohns Hopkins Discovery Awards, participated as postdoctoral fellow

 

10 representative papers

1. Zhichao Yuan; Hai-Jun Wang; Qin Li; Tao Su; Jie Yang; Junjun Chen; Yuanzhou Peng; Shuang Zhou; Heling Bao; Shusheng Luo; Hui Wang; Jue Liu; Na Han; Yuming Guo; Yuelong Ji ; Risk of de novo hypertensive disorders of pregnancy after exposure to PM1 and PM2.5 from preconception to delivery in Tongzhou, Beijing, China: a birth cohort study, JMIR Public Health and Surveillance, 2023, 9(e41442)

2. Zhichao Yuan; Qin Li; Tao Su; Jie Yang; Junjun Chen; Yuanzhou Peng; Shuang Zhou; Heling Bao; Shusheng Luo; Hui Wang; Jue Liu; Na Han; Yuming Guo; Yuelong Ji(共同通讯作者); Hai-Jun Wang; Effects of fine ambient particulate matters on de novo hypertensive disorders of pregnancy and blood pressure before 20 weeks, Environmental Research, 2022, 218(115023)

3. Hui Wang; Hai-Jun Wang; Mingyuan Jiao; Na Han; Jinhui Xu; Heling Bao; Zheng Liu; Yuelong Ji ; Associations between Dynamic Vitamin D Level and Thyroid Function during Pregnancy,Nutrients, 2022, 14(18): 3780

4. Y. Ji, R. E. Azuine, Y. Zhang, W. Hou, X. Hong, G. Wang, A. Riley, C. Pearson, B. Zuckerman and X. Wang. “Association of Cord Plasma Biomarkers of In Utero Acetaminophen Exposure With Risk of Attention-Deficit/ Hyperactivity Disorder and Autism Spectrum Disorder in Childhood”. In: JAMA psychiatry (2019), pp. 1–11.

5. R. E. Azuine, Y. Ji(共同第一作者), H.-Y. Chang, Y. Kim, H. Ji, J. DiBari, X. Hong, G. Wang, G. K. Singh, C. Pearson et al. “Prenatal Risk Factors and Perinatal and Postnatal Outcomes Associated With Maternal Opioid Exposure in an Urban, Low-Income, Multiethnic US Population”. In: JAMA network open 2.6 (2019), e196405–e196405.

6. Y. Ji, X. Hong, G. Wang, N. Chatterjee, A. W. Riley, L.-C. Lee, P. J. Surkan, T. R. Bartell, B. Zuckerman and X. Wang. “A prospective birth cohort study on early childhood lead levels and attention deficit hyperactivity disorder: new insight on sex differences”. In: The Journal of pediatrics (2018).

7. Y. Ji, A. Riley, L.-C. Lee, X. Hong, G. Wang, H.-J. Tsai, N. Mueller, C. Pearson, J. Thermitus, A. Panjwani et al. “Maternal biomarkers of acetaminophen use and offspring attention deficit hyperactivity disorder”. In: Brain sciences 8.7 (2018), p. 127.

8. Y. Ji, A. W. Riley, L.-C. Lee, H. Volk, X. Hong, G. Wang, R. Angomas, T. Stivers, A. Wahl, H. Ji et al. “A prospective birth cohort study on maternal cholesterol levels and offspring attention deficit hyperactivity disorder: new insight on sex differences”. In: Brain sciences 8.1 (2017), p. 3.

9. Y. Ji, X. Kong, G. Wang, X. Hong, X. Xu, Z. Chen, T. Bartell, X. Xu, G. Tang, F. Hou et al. “Distribution and determinants of plasma homocysteine levels in rural Chinese twins across the lifespan”. In: Nutrients 6.12 (2014), pp. 5900–5914.

10. G. Wang, S. Divall, S. Radovick, D. Paige, Y. Ning, Z. Chen, Y. Ji, X. Hong, S. O. Walker, D. Caruso, et al. “Preterm birth and random plasma insulin levels at birth and in early childhood”. In: JAMA 311.6 (2014), pp. 587–596.