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

I develop statistical tools to facilitate causal inference. This includes studying synthetic control methods, making causal inference algorithms differentially private, and investigating algorithmic fairness from a causal perspective. On the side, I am also interested in how human/society interacts with machine learning technologies.

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


[Conference & Journal Papers]

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]

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


Won the First Prize at the City Robotics Hackathon at Media Lab

City Robotics Group in the MIT Media Lab held a design•a•hack•a•thon in collaboration with US San Diego Design Lab. The theme was designing a socially intelligent system for the future city mobility. My team designed a bicycle helmet that can work as a platform for V2V interaction in the future. With an optimistic mindset towards the …