I am a PhD student at Columbia University in the department of Computer Science, working with Professor Vishal Misra, Rachel Cummings, and Dan Rubenstein.

I develop statistical tools to facilitate causal inference. My recent works include devising differential privacy causal inference algorithms and analyzing algorithmic fairness from a causal perspective.

I am currently a resident at Google X.

If you want to discuss potential collaborative opportunities, I can be reached at s.rho (at) columbia (dot) edu.


[Conference & Journal Papers]

Rho, S., Cummings, R., & Misra, V. (2023). Differentially Private Synthetic Control. In International Conference on Artificial Intelligence and Statistics (pp. 1457-1491). PMLR.

Charpignon, M., Mironova, M., Rho, S., Majumder. M., and Celi. L. (2020). “Modeling Hepatitis A Outbreak in the United States.” In Proceedings of the 2020 American Medical Informatics Association Informatics Summit (AMIA ’20).

Rho, S., Lee, I., Kim, H. K., Jung, J. H., Kim, H., Jeon, B. G., Lim, Y. K. (2017). “FutureSelf: What Happens When We Forecast Quantified Selfers’ Future Health Statuses?” In Proceedings of the 2017 ACM Conference on Designing Interactive Systems (DIS’17): 637-648. Honorable Mention Award.

Kim, D., Lee, Y., Rho, S., and Lim, Y.K. (2016). “Design Opportunities in Three Stages of Relationship Development between Users and Self-Tracking Devices.” In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI ’16): 699-703.

Lee, Y., Kim, M. G., Rho, S., Kim, D. J., and Lim, Y. K. (2015). “Friends in Activity Trackers: Design Opportunities and Mediator Issues in Health Products and Services.” In Proceedings of the 2015 International Association of Societies of Design Research (IASDR ’15): 1206-1219. Best Paper Award.

Seok, J. Y., Rho, S., Kim, E. J., Min, B. S., and Suk, H. J. (2015). “Color Quantization to Visualize Perceptually Dominant Colors of an Image.” Journal of Korea Society of Color Studies 29, no. 2 (2015). DOI: 10.17289/jkscs.29.2.201505.95

[Workshop Papers]

Rho, S., Cummings. R., and Misra, V. (2022). “Differentially Private Synthetic Control.” Theory and Practice of Differential Privacy, ICML ’22.

Charpignon, M., Mironova, M., Rho, S., Majumder. M., and Celi. L. (2019). “Using News Articles to Model Hepatitis A Outbreaks: A Case Study in California and Kentucky.” Joint Workshop on AI for Social Good, NeurIPS ‘19.


Rho, S. (2020). “Estimating Lower Bounds for Time Series Prediction Error.” MIT.

Rho, S. (2016). “Using Consequence Information in Quantified-Self Service Design to Support User Health Motivation.” KAIST.


Showing the three most recent projects – click here to view all


Resident at Google X, Project Taara

This year, I am working with the team Taara at Google X as a PhD resident to come up with agile solutions for diverse problems using ML techniques. The main focus is to build predictive models and causal inference models using time-series data.