Xiaoran Chen

Senior Data Scientist

Research

(Alumni)

Xiaoran Chen joined SDSC as a senior data scientist in July 2022. Prior to this, she received her PhD at ETH Zurich in 2021. Her research was focused on unsupervised learning and anomaly detection on magnetic resonance imaging (MRI) scans. She also holds a master’s degree in bioinformatics and bachelor’s degree in biological science. Her research interest includes self-supervised learning, representation learning and general applications using machine learning methods.

Projects

VOCIM

In Progress

Directed Imitation During Vocal Learning

Academia

PHENO-MINE

Completed

Pheno-Mine: Extracting dynamic ideotypes from seasonal image time series of wheat taken in the field

Academia

Publications



Hassan, M.; Stapf, S.; Rahimi, A.; Rezende, P. M. B.; Haghighi, Y.; Brüggemann, D.; Katircioglu, I.; Zhang, L.; Chen, X.; Saha, S.; et al. "GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control" Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 22404-22415 2025 View publication 



Hassan, M.; Stapf, S.; Rahimi, A.; Rezende, P.; Haghighi, Y.; Brüggemann, D.; Katircioglu, I.; Zhang, L.; Chen, X.; Saha, S.; et al. "Gem: A generalizable ego-vision multimodal world model for fine-grained ego-motion, object dynamics, and scene composition control" Proceedings of the Computer Vision and Pattern Recognition Conference 22404–22415 2025 View publication 

Mentioned in

Case Studies

Contact us

Would you like to explore how we can work together?

Our team of data scientists and professionals looks forward to engaging in impactful, results-driven collaborations with you.