Research

Publications

  • Sky Qiu, Susan Gruber, Pamela A. Shaw, Brian D. Williamson & Mark J. van der Laan (2026). Efficient Targeted Maximum Likelihood Estimators for Two-Phase Design Problems. arXiv preprint. [Paper]
  • Hana Lee, Sky Qiu, Spencer Haupert, Gabriel K. Innes, Tristan Naumann, Demissie Alemayehu & Mark van der Laan (2026). Methodological and regulatory considerations for causal AI in drug development. npj Digital Medicine. [Paper]
  • Sky Qiu, Jens Tarp, Andrew Mertens & Mark van der Laan (2025). An Estimator-Robust Design for Augmenting Randomized Controlled Trial with External Real-World Data. arXiv preprint. [Paper]
  • Mark van der Laan, Sky Qiu & Lars van der Laan (2024). Adaptive-TMLE for the Average Treatment Effect based on Randomized Controlled Trial Augmented with Real-World Data. Journal of Causal Inference, 14(1), p.20240025. [Paper]
  • Zachary Butzin-Dozier, Sky Qiu, Alan E Hubbard, Junming Shi & Mark van der Laan (2024). Highly adaptive LASSO: Machine learning that provides valid nonparametric inference in realistic models. medRxiv preprint. [Paper]
  • Sky Qiu, Alan Hubbard, Juan Pablo Gutiérrez, Ganesh Pimpale, Alturo Juárez-Flores, Rakesh Ghosh, Ivan Ascencio-Montiel & Stefano Bertozzi (2024). Estimating the effect of realistic improvements of metformin adherence on COVID-19 mortality using targeted machine learning. Global Epidemiology, 100142. [Paper]
  • Toru Shirakawa, Yi Li, Yulun Wu, Sky Qiu, Yuxuan Li, Mingduo Zhao, Hiroyasu Iso & Mark van der Laan (2024). Longitudinal targeted minimum loss-based estimation with temporal-difference heterogeneous transformer. International Conference on Machine Learning (ICML) 2024. [Paper]

Awards & Honors

  • Chin Long Chiang Award for Excellence in Biostatistics Research, 2025

  • Phi Beta Kappa Honor Society, 2021