Suhwan Bong

Suhwan Bong

PhD Student at Harvard University

Research

Published & Accepted

  1. Bong, S. (2026). Strategic Causal Policy Learning with Manipulable Eligibility. Advances in Neural Information Processing Systems 39 (NeurIPS 2026). Accepted (poster).

  2. Eun, Y.†, Bong, S.†, Koh, H. Y., Trousdale, R. K., Cho, Y. M., Jang, Y., and Lee, S.-T. (2026). Semaglutide and risk of adult-onset seizure: A target trial emulation. Neurology, 107(1). link

  3. Lopez, D., Cao, H., Bong, S., Lee, J. D., Lee, J.-H., and Lee, S. J. (2026). Early changes in interproximal contact and tactile sensitivity around implant-supported restorations: An 18-month prospective study. Journal of Prosthodontics. link

  4. Bong, S., Lee, K., and Dominici, F. (2024). Differential recall bias in estimating treatment effects in observational studies. Biometrics, 80(2). link

†These authors contributed equally as co-first authors.


Submitted

  1. Bong, S., Shin, H., Bargagli-Stoffi, F. J., and Dominici, F. (2026). Generalized Causal Rule Ensemble: Discovering Heat-Vulnerable Medicare Subgroups Using Continuous Exposure-Response Functions. Submitted.

  2. Bong, S., Guidi, G., Cork, M., Henneman, L., and Dominici, F. (2026). Delayed Coal Plant Retirements in the Era of Data Centers Carry a Measurable Mortality Cost. Under review.

  3. Toenges, R., Alberge, J.-B., Scharlee, C., Iemura, T., Bong, S., et al. (2026). Genomic Predictors of Progression and Single-Cell Phylogenetic Dynamics after Early Intervention in Smoldering Myeloma. Under review.

  4. Bong, S. and Lee, K. (2024). Local causal effects with continuous exposures: A matching estimator for the average causal derivative effect. arXiv preprint. link


Presentations

  1. Strategic Causal Policy Learning with Manipulable Eligibility. NeurIPS 2026, poster presentation, Dec. 2026.

  2. Generalized Causal Rule Ensemble. American Causal Inference Conference, Salt Lake City, Utah, May 2026.

  3. Local Causal Effects with Continuous Exposures. Korean Statistical Society Conference, Busan, South Korea, Dec. 2023.

  4. Differential Recall Bias in Estimating Treatment Effects in Observational Studies. 6th International Conference on Econometrics and Statistics, Organized Invited Session, Tokyo, Japan, Aug. 2023.

  5. Differential Recall Bias in Estimating Treatment Effects in Observational Studies. Korean Statistical Society Conference, Jeju, South Korea, Dec. 2022. Outstanding Poster Presentation Award.