lang.zeng@pitt.edu

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About Me

Hi there! I received my Ph.D. in Biostatistics from the University of Pittsburgh in 2026, where I was fortunate to be advised by Professor Ying Ding.

My research centers on comparison-based deep learning, survival analysis, and learning-to-rank.

From August, 2026, I will start a new position as an Assistant Professor in the Department of Statistics at The Ohio State University.

Research Interest

  • Deep Learning and Non-/Semi-parametric Theory: Develop deep learning-based non-/semi-parametric models with high-dimensional covariates and establish theoretical foundations for survival analysis and rank-based statistical learning.

  • Statistical Modeling for Risk Prediction with Multi-modal Biomedical Data: Develop predictive models for individualized disease progression by integrating imaging, genetics, and electronic health record (EHR) data. Applications include age-related eye diseases, Alzheimer’s disease, and event forecasting in oncology clinical trials.

  • Collaborative Biomedical Applications: Address pressing biomedical questions through collaborations, including identifying proteomic signatures in Alzheimer’s disease and lung disease, and advancing statistical solutions for challenges such as cell type clustering and doublet detection in single-cell sequencing data.

Education

  • Ph.D. in Biostatistics, University of Pittsburgh, 2021–2026
  • M.S. in Biostatistics, University of Michigan, 2018–2020
  • B.Sc. (Minor) in Mathematics and Applied Mathematics, Peking University, 2015–2018
  • B.Med. in Preventive Medicine, Peking University, 2013–2018