To understand the mechanisms behind dynamic and complex biological phenomena, we are combining mathematical modeling and machine learning for decoding the governing rules or equations that govern biological system.

• Inference of axon wiring rules from neural connectome data
• Reconstruction of spatial transcriptome from one-cell RNA-seq data
• Identification of governing equations from multicellular live imaging data
• Data-driven modeling for early detection of neurodegenerative diseases
• Deciphering behavioral strategies and mental fluctuations from behavioral data
• Mathematical modeling of immune system/stem cell homeostasis/morphodynamics