Su Li

Su Li

Postdoctoral Fellow at Rice University · Visiting Research Scholar at MD Anderson

Publications

You can also find my work on Google Scholar.

Peer-reviewed journal articles

A convex relaxation-based spatial branching approach for optimal robust group testing designs under prevalence rate and dilution behavior uncertainty

Article in Advance, INFORMS Journal on Computing, 2026

A spatial branching method for robust group testing design under uncertainty in prevalence rates and dilution behavior.

Recommended citation: Li, S., Aprahamian, H., & Chatterjee, S. (2026). A convex relaxation-based spatial branching approach for optimal robust group testing designs under prevalence rate and dilution behavior uncertainty. INFORMS Journal on Computing. Article in Advance. https://doi.org/10.1287/ijoc.2023.0465

An optimization-based framework to minimize the spread of diseases in social networks with heterogeneous nodes

Published in IISE Transactions, 2024

An optimization-based framework for minimizing disease spread in social networks with heterogeneous nodes.

Recommended citation: Li, S., & Aprahamian, H. (2024). An optimization-based framework to minimize the spread of diseases in social networks with heterogeneous nodes. IISE Transactions, 56(2), 128–142. https://doi.org/10.1080/24725854.2023.2191668

Submitted and working papers

Digital twin and optimization-guided MRI patient sequencing to reduce changeover and increase appointment-slot availability

Submitted to JCO Oncology Practice, 2026

Digital-twin and optimization methods for reducing MRI changeovers and increasing appointment availability.

Recommended citation: Li, S., Schaefer, A. J., Jaffray, D. A., Siewerdsen, J. H., & Yung, J. P. (2026). Digital twin and optimization-guided MRI patient sequencing to reduce changeover and increase appointment-slot availability. Submitted to JCO Oncology Practice.

Recognition: Selected for Best of Professional at AAPM 2026 (American Association of Physicists in Medicine); accepted at RSNA 2026 (Radiological Society of North America) Annual Meeting.

A decision-analytic model to optimize diagnostic management for screen-detected pulmonary nodules

Working paper, 2026

A decision-analytic model for optimizing the diagnostic management of pulmonary nodules found through screening.

Recommended citation: Li, S., Toumazis, I., Schaefer, A., Ishizawa, S., Ozik, J., Collier, N. T., Meza, R., Lam, S., & Khattra, S. (2026). A decision-analytic model to optimize diagnostic management for screen-detected pulmonary nodules. Working paper.

Presentation: Accepted at WCLC 2026 (World Conference on Lung Cancer).

Tumor burden and early swallow recovery predict imaging-graded dysphagia at 2- and 5-years after treatment for oropharyngeal cancer

Submitted to Radiotherapy & Oncology, 2026

Long-term dysphagia outcomes after treatment for oropharyngeal cancer.

Recommended citation: Li, S., Jang, I., Barbon, C. E. A., Moreno, A. C., Schaefer, A. J., Lee, J. J., Lai, S. Y., Fuller, C. D., Hutcheson, K. A., & Manduchi, B. (2026). Tumor burden and early swallow recovery predict imaging-graded dysphagia at 2- and 5-years after treatment for oropharyngeal cancer. Submitted to Radiotherapy & Oncology.