64178-Sun, Dayu

Dayu Sun, PhD

Assistant Professor of Biostatistics & Health Data Science

Affiliated Scientist, Center for Aging Research, Regenstrief Institute

Email
dayusun@iu.edu
Phone
317-274-2661
Address
HITS 3057
BSAT
Indianapolis, IN
PubMed:
CV:
Download CV

Bio

Personal website: https://www.sundayu.me/

Dayu Sun is a tenure-track assistant professor in the Department of Biostatistics and Health Data Science at Indiana University School of Medicine, a position he has held since June 2023. Since September 2023 he has also been an affiliated scientist with the Center for Aging Research at the Regenstrief Institute. From 2020 to 2023 he was a postdoctoral fellow in the Department of Biostatistics and Bioinformatics at the Rollins School of Public Health, Emory University, working with Dr. Limin Peng, Dr. Ying Guo and Dr. Amita Manatunga.

He obtained a Ph.D. in statistics from the University of Missouri – Columbia in 2020 under the supervision of Dr. Jianguo (Tony) Sun, with a dissertation on regression analysis of complex longitudinal data. He also holds an M.A. in statistics from the University of Missouri, an M.Phil. in statistics from The Hong Kong Polytechnic University (supervised by Dr. Xingqiu Zhao and Dr. Zhisheng Ye), and a B.S. with First Class Honours from the same institution.

He is a member of the American Statistical Association, the Eastern North American Region (ENAR) of the International Biometric Society, and the International Chinese Statistical Association, and serves as an associate editor of the American Journal of Emerging Scholars.

See my latest CV at https://www.sundayu.me/cv/.

Key Publications

  • Aalsma, M. C., Schwartz, K., Sun, D., O’Reilly, L. M., Brown, S. A., Monahan, P. O., Saldana, L., Wiehe, S. E., Zapolski, T. C. B., Hulvershorn, L. A., Adams, Z. W., and Dir, A. L. (2026). “Learning health systems and substance use care cascade achievement among justice-involved youth: a cluster-randomized stepped-wedge clinical trial,” JAMA Network Open, 9 (2), e2558222. doi: 10.1001/jamanetworkopen.2025.58222.
  • Sun, Y., Li, J., Liu, X., Mortensen, G. A., Gu, X., Adams, D. C., Tang, H., Su, J., Liu, Z., Sun, D.†, and Meng, L.† (2025). “The HM-TARGET personalised real-time haemodynamic targets in critical care,” Nature Communications, 16 (1). doi: 10.1038/s41467-025-62527-x.
  • Sun, D., Sun, Z., Zhao, X., and Cao, H. (2025). “Kernel meets sieve: transformed hazards models with sparse longitudinal covariates,” Journal of the American Statistical Association, (552), 2580–2591. doi: 10.1080/01621459.2025.2476781.
  • Likassa, H. T., Chen, D.-G., Chen, K., Wang, Y., Zhu, W., Dumitrascu, O., and Sun, D. (2025). “Robust principal component analysis with truncated weighted nuclear norm and adaptive histogram equalization: a novel method for low-quality retinal image enhancement,” Statistics and Data Science in Imaging, 2 (1), 47. doi: 10.1080/29979676.2025.2538438.
  • Sun, D., Qiu, Z., Peng, L., Guo, Y., and Manatunga, A. (2024). “Partial quantile tensor regression,” Journal of the American Statistical Association, 120 (551), 1724–1735. doi: 10.1080/01621459.2024.2422129.
  • Sun, D., Guo, Y., Li, Y., Tu, W., and Sun, J. (2024). “A robust approach for regression analysis of panel count data with time-varying covariates,” Bernoulli, 30 (4), 3251–3275. doi: 10.3150/23-bej1713.
  • Sun, D., Guo, Y., Li, Y., Sun, J., and Tu, W. (2024). “A flexible time-varying coefficient rate model for panel count data,” Lifetime Data Analysis, (4), 721–741. doi: 10.1007/s10985-024-09630-1.
  • Guo, Y.*, Sun, D.*, and Sun, J. (2023). “Regression analysis of panel count data with both time-dependent covariates and time-varying effects,” Statistica Sinica, 33 (2), 961–981. doi: 10.5705/ss.202021.0036.
  • Sun, D., Zhao, H., and Sun, J. (2021). “Regression analysis of asynchronous longitudinal data with informative observation processes,” Computational Statistics & Data Analysis, 157, 107161. doi: 10.1016/j.csda.2020.107161.
  • Shen, L., Sun, D., Ye, Z., and Zhao, X. (2017). “Inference on an adaptive accelerated life test with application to smart-grid data-acquisition-devices,” Journal of Quality Technology, 49 (3), 191–212. doi: 10.1080/00224065.2017.11917990.

Looking for patient care?

To schedule an appointment with a faculty member physician of IU School of Medicine, contact Indiana University Health at 888-484-3258 or use the physician finder by clicking the button below.
Find a doctor