Ying Ding

Contributions to Public Health

• Advancing Survival Analysis for Complex Biomedical Data: I developed foundational statistical theories for semiparametric survival models and introduced novel copula-based methods for analyzing complex survival data, including multivariate and interval-censored outcomes. These methodological advances enable more robust public health research in understanding chronic disease progression and associated risk factors.
  • Ding & Nan, 2011, Annals of Statistics
  • Sun & Ding, 2021, Biostatistics
• Subgroup Identification and Causal Inference in Precision Medicine: I introduced methodological frameworks for evaluating treatment heterogeneity, identifying subgroups, and estimating individualized effects, directly supporting the development of precision medicine and real-world individual treatment rule recommendations.
  • Ding et al., 2018, Annals of Applied Statistics
  • Bo et al., 2025, Statistics in Medicine
• Machine Learning for Risk Predictions: I pioneered various machine learning and deep learning models, including survival neural networks, with genetics, imaging, and EHR data for dynamic risk prediction. These tools enhance individualized care and clinical decision-making.
  • Zeng et al., 2025, JRSS-C
  • Sun & Ding, 2022, Biometrics
• Translational Research in Vision and Progressive Chronic Disorders: My collaborations in ophthalmology and various progressive chronic disorders led to integrative models that identify risk factors and predict disease progression, including age-related macular degeneration and Alzheimer’s disease, which improves early diagnosis and patient management.
  • Yan et al., 2020, Nature Machine Intelligence
  • MacDonald et al., 2020, JAMA Psychiatry
• Mentorship and Leadership in Graduate Public Health Education: I have advised over a dozen PhD and MS students (as their dissertation or thesis advisor) and mentored ten junior faculty, many of whom received national and local awards. As Associate Dean for Graduate Academic Affairs, I provide strategic leadership and oversight for all graduate programs in the School of Public Health. I work to ensure academic excellence, foster an inclusive learning environment, and promote innovation in graduate education through collaboration across the school and university.
  • James L. Craig Excellence in Education Award (2021)
  • American Statistical Association Elected Fellow (2025)