Mengyan Li

Mengyan Li

Teaching Interests

Business statistics, data science and machine learning

Research Interests

Measurement error models, high dimensional inference, missing data, semiparametric regression modeling, network data analysis

Scholarly Contributions and Creative Productions

Journal Articles

  • Cai, T., Li, M., Liu, M. (2025). Semi-supervised Triply Robust Inductive Transfer Learning. Journal of the American Statistical Association (Link)
  • Zhou, D., Liu, M., Li, M., Cai, T. (2025). Doubly robust augmented model accuracy transfer inference with high dimensional features. Journal of the American Statistical Association (Link)
  • Greco, K. F., Yang, Z., Li, M., Tong, H., Sweet, S. M., Geva, A., Mandl, K. D., Raby, B. A., Cai, T. (2025). A Weakly Supervised Transformer to Support Rare Disease Diagnosis from Electronic Health Records: Methods and Applications in Rare Pulmonary Disease. npj Digital Medicine (Forthcoming)
  • Li, M., Li, X., Pan, K., Geva, A., Yang, D., Sweet, S. M., Bonzel, C., Panickan, V. A., Xiong, X., Cai, T. (2024).  Multisource representation learning for pediatric knowledge extraction from electronic health records. npj Digital Medicine (Link)
  • Chen, C., Deng, Y., Li, M., Shi, X. (2023). Investigation of key climatic factors affecting asphalt pavement roughness in different climate regions. Research Part D: Transport and Environment
  • Li, M., Ma, Y., Zhao, J. (2021). Efficient Estimation in a Partially Specified Nonignorable Propensity Score Model. Computational Statistics & Data Analysis
  • Li, M., Li, R., Ma, Y. (2021). Inference in High Dimensional Linear Measurement Error Models. Journal of Multivariate Analysis
  • Li, M., Ma, Y., Li, R. (2019). Semiparametric regression for measurement error model with heteroscedastic error. Journal of Multivariate Analysis, (171) 320-338.

    • Presentations

  • Li, M. (2025). “Multisource representation learning for pediatric knowledge extraction from electronic health records” Presented at the EcoSta 2025
  • Li, M. (2024). “Semi-supervised triply robust inductive transfer learning” Presented at the CFE-CMStatistics 2024 Remote
  • Li, M. (2024). “Semi-supervised triply robust inductive transfer learning” Presented at the EcoSta2024 Remote
  • Li, M. (2024). “MSReL: Multi-Source Representation Learning for Pediatric Knowledge Extraction from Electronic Health Records” Presented at the NESS NESS 2024 Connecticut
  • Li, M. (2023). “Semi-supervised Triply Robust Inductive Transfer Learning” Presented at the Mathematical Sciences Research Seminar Bentley University
  • Li, M. (2023). “Semi-supervised Triply Robust Inductive Transfer Learning” Presented at the WNAR 2023 Anchorage
  • Li, M. (2022). “Triply Robust Surrogate-and-Model-Assisted Semi-Supervised Transfer Learning” Presented at the 2022 Joint Statistical Meetings Washington, DC
  • Li, M. (2021). “Inference in High Dimensional Linear Measurement Error Models” Presented at the Quality and Productivity Research Conference Turnbull Conference Center, Florida State University, Tallahassee, Florida

    • Service

    Service: Department

  • Committee Member for TTAP Search Committee 24-25 2024-09-01 - 2024-12-31
  • Committee Member for Undergraduate curriculum committee 2023-08-01 - Present
  • Committee Chair for Social Committee 2023-01-01 - 2023-08-31
  • Committee Chair for Social Committee 2022-09-01 - 2022-12-31
  • Committee Member for Social Committee 2021-02-01 - 2021-12-31
  • Committee Member for The Center for Analytics and Data Science Consulting Group 2021-02-01 - 2021-12-31
  • Committee Member for The Center for Analytics and Data Science Workshop Group 2021-02-01 - 2021-12-31

    • Service: University

  • Senate Member for Faculty senate 2025-09-01 - Present
  • Committee Member for Teaching and Scholarly Activities Committee 2024-05-01 - 2025-08-31