Ruochen Kong

I have been a Ph.D. student in Spatial Computing Lab at Emory since Fall 2023. Prior to that I had some research experience in deep learning, mainly in Graph Neural Networks and Signal Segmentation, and teaching assistant experience for multiple undergraduate CS courses.

My current project focuses on understanding real world data bias with simulations. Analyze the observational bias, the bias caused in the process of data collection, might be difficult only with the real-world data, as the full data set is never available in the real world. With a simulation, however, we could easily obtain any “ground truth” information the simulation has. By analyzing the source, the impact, and the solution for biases in a simulation would correspondingly help the understanding of the scenarios in the real world.

As a lower-year Ph.D. student, I’m still investigating my research interest, generally in AI for Science.