CV

Education

• Ph.D. in Perelman School of Medicine, University of Pennsylvania, 2026 (Expected)
  • Genomics and Computational Biology (GCB) - Ph.D.
  • Expected degree conferral date: May 2026
• M.A. in School of Arts and Sciences, University of Pennsylvania, 2021
  • Major in Applied Mathematics and Computational Science (AMCS) - M.A.
• BSc in University of Liverpool, 2019
  • Major in Applied Mathematics - BSc
• BSc in Xi’an Jiaotong-Liverpool University, 2019
  • Major in Mathematics and Applied Mathematics - BSc

Publications

[Journal] Identifying Alzheimer’s genes via brain transcriptome mapping

Baik, J.Y., Kim, M., Bao, J., et al. (2022). "Identifying Alzheimer’s genes via brain transcriptome mapping." BMC Med Genomics.

[Preprint] Mega-analysis of brain structural covariance, genetics, and clinical phenotypes

Junhao Wen, Ilya Nasrallah, Ahmed Abdulkadir, et al. (2022). "Mega-analysis of brain structural covariance, genetics, and clinical phenotypes." Preprint.

[Journal] Characterizing Heterogeneity in Neuroimaging, Cognition, Clinical Symptoms, and Genetics Among Patients With Late-Life Depression

Junhao Wen, Cynthia H. Y. Fu, Duygu Tosun, et al. (2022). "Characterizing Heterogeneity in Neuroimaging, Cognition, Clinical Symptoms, and Genetics Among Patients With Late-Life Depression." JAMA Psychiatry.

[Conference, keynote presenter, travel award] Identifying highly heritable brain amyloid phenotypes through mining Alzheimer’s imaging and sequencing biobank data

Jingxuan Bao, Zixuan Wen, Mansu Kim, Brain N. Lee, Sang-Hyuk Jung, Christos Davatzikos, Andrew J. Saykin, Paul M. Thompson, Dokyoon Kim, Yize Zhao, Li Shen, and for the Alzheimer’s Disease Neuroimaging Initiative. (2021). "Identifying highly heritable brain amyloid phenotypes through mining Alzheimer’s imaging and sequencing biobank data." Pacific Symposium on Biocomputing.

[Conference] Identifying imaging genetic associations via regional morphometricity estimation

Jingxuan Bao, Zixuan Wen, Mansu Kim, Andrew J. Saykin, Paul M. Thompson, Yize Zhao, Li Shen, and for the Alzheimer’s Disease Neuroimaging Initiative. (2022). "Identifying imaging genetic associations via regional morphometricity estimation." Pacific Symposium on Biocomputing.

[Conference, poster presenter] A Novel Bayesian Semi-parametric Model for Learning Heritable Imaging Traits

Yize Zhao, Xiwen Zhao, Mansu Kim, Jingxuan Bao, Li Shen. (2021). "A Novel Bayesian Semi-parametric Model for Learning Heritable Imaging Traits." International Conference on Medical Image Computing & Computer Assisted Intervention.

[Abstract] Identifying tissue specific transcriptomic effects on brain volume measures from GWAS summary data

Hung Mai, Jingxuan Bao, Paul Thompson, Dokyoon Kim, Li Shen (2021). "Identifying tissue specific transcriptomic effects on brain volume measures from GWAS summary data." Organization for Human Brain Mapping 2021.

[Abstract] Mining brain-wide gene expression data to identify imaging genomic modules via biclustering

Jingxuan Bao, Mansu Kim, Xiaohui Yao, Trang Le, Patryk Orzechowski, Jingwen Yan, Andrew Saykin, Jason Moore, Li Shen. (2021). "Mining brain-wide gene expression data to identify imaging genomic modules via biclustering." Organization for Human Brain Mapping 2021.

[Journal] A Structural Enriched Functional Network: An Application to Predict Brain Cognitive Performance

Mansu Kim, Jingxaun Bao, Kefei Liu, Bo-yong Park, Hyunjin Park, Jae Young Baik, Li Shen. (2020). "A Structural Enriched Functional Network: An Application to Predict Brain Cognitive Performance." Medical Image Analysis.

[Conference] Estimating Hard-tissue Conditions from Dental Images via Machine Learning

Jingxuan Bao, Mansu Kim, Qing Sun, Anderson T. Hara, Gerardo Maupome, Li Shen. (2020). "Estimating Hard-tissue Conditions from Dental Images via Machine Learning." 20th International Conference on BioInformatics and BioEngineering (ieeeBIBE).

[Conference] Structural Connectivity Enriched Functional Brain network using Simplex Regression with GraphNet

Mansu Kim, Jingxaun Bao, Kefei Liu, Bo-yong Park, Hyunjin Park, Li Shen. (2020). "Structural Connectivity Enriched Functional Brain network using Simplex Regression with GraphNet." International Conference on Medical Image Computing & Computer Assisted Intervention - Machine Learning in Medical Imaging Workshop.

Service

• BIBM 2021 Co-Reviewer
  • Dr. Li Shen’s Lab, Perelman School of Medicine (Upenn) - October, 2021
• ICIBM 2021 Volunteer
  • Dr. Li Shen’s Lab, Perelman School of Medicine (Upenn) - Auguest, 2021
• BIBM 2020 Co-Reviewer
  • Dr. Li Shen’s Lab, Perelman School of Medicine (Upenn) - September, 2020
• ACM-BCB 2020 Subreviewer
  • Dr. Li Shen’s Lab, Perelman School of Medicine (Upenn) - June, 2020
• ICIBM 2020 Subreviewer
  • Dr. Li Shen’s Lab, Perelman School of Medicine (Upenn) - May, 2020
• KDD 2020 Subreviewer
  • Dr. Li Shen’s Lab, Perelman School of Medicine (Upenn) - March, 2020

Certifications

• Stage 1 - Basic Course for Biomedical Research and Human Research
  • CITI Program, A Division of BRANY - March, 2020
• Convolutional Neural Networks
  • deeplearning.ai, Coursera - December, 2019
• Structuring Machine Learning Projects
  • deeplearning.ai, Coursera - November, 2019
• Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
  • deeplearning.ai, Coursera - November, 2019
• Neural Networks and Deep Learning
  • deeplearning.ai, Coursera - November, 2019

Honors

• Rajendra Bhansali Prize
  • Top 1 in Department of Applied Mathematics
  • Xi’an Jiaotong-Liverpool University, July 2019
• China National Scholarship
  • Top 0.2% in Mainland China
  • Xi’an Jiaotong-Liverpool University, October 2018
• University Academic Excellent Award 2018 - 2019
  • Top 5% in Department of Applied Mathematics
  • Xi’an Jiaotong-Liverpool University, August 2018
• Outstanding Student Leader 2017 - 2018
  • Top 1% in Xi’an Jiaotong-Liverpool University
  • Xi’an Jiaotong-Liverpool University, April 2018
• University Academic Achievement Award 2017 - 2018
  • Top 10% in Department of Applied Mathematics
  • Xi’an Jiaotong-Liverpool University, August 2017
• University Academic Achievement Award 2016 - 2017
  • Top 10% in Department of Applied Mathematics
  • Xi’an Jiaotong-Liverpool University, August 2016

Skills

• R
• Python
• Matlab
• Data analysis