Chixiang Chen

Chixiang Chen is an Associate Professor in Biostatistics at the Department of Epidemiology & Public Health, University of Maryland School of Medicine, with joint appointments in the Department of Neurosurgery and the University of Maryland Institute for Health Computing. He is a NIH-funded principal investigator whose research spans theoretical and applied statistics, focusing on causal inference, data integration, machine learning, and single-cell analysis for aging, Alzheimer’s disease, and clinical trial design.

• Education:
  • PhD in Biostatistics (2020), Pennsylvania State University
  • Postdoctoral Researcher (2021), University of Pennsylvania
• Research Interests:
  • Developing robust statistical frameworks for real-world data integration (e.g., Medicare claims, UK Biobank).
  • Innovative causal inference methods for observational studies and clinical trials.
  • Single-cell RNA-seq and bulk data deconvolution for aging and disease studies.
  • Machine learning in multi-modal biomedical data and federated learning.
• Grants:
  • NIH/NIA R01 (2024-2029) for post-fracture recovery analysis.
  • Johns Hopkins ICTR grant (2024-2025) for Alzheimer’s disease risk factors.
  • OAIC CC Flexible Early Career Faculty Award (2023-2024).
  • NIH R01 collaborations in aging, neuroscience, and surgery.
• Scientific Awards:
  • 2024: Honorable Mention (ICSA), Early Career (ACTStat), Pepper Pilot Grant.
  • 2023: RCCN Travel Award, OAIC CC Flexible Early Career Faculty Award.
  • 2021: Dean’s Scholarly Achievement (Penn State).
  • 2019: Alumni Society Award (Penn State), JSM Student Paper Award.
• Labs & Collaborations:
  • Director of the SILVER Lab (Statistical Information Integration and Learning for Health Data).
  • Collaborations in gerontology, cardiology, neuroscience, and oncology.
  • Developed R packages: DRDNet, InteRD, MultiRD, ELCIC, eMultiMR.