Research

Deep generative model for Learning Streamline Embeddings from Tractography

Research project advised by Dr. Paul Thompson @USC (2011-Present)
Using a convolutional variational autoencoder to learn low-dimensional embeddings of white matter tracts

Deep Multiview Learning for Multimodal Neuroimaging Data

Research project advised by Dr. Li Shen @Penn (2019-2021)
Understanding Alzheimer's disease structure by applying deep multiview learning to multimodal neuroimaging data

Evaluating MedDRA-ICD mapping in UMLS and OHDSI

Research project advised by Dr. Cui Tao @UTHealth SBMI (2018-2021)
Qualitative and quantitative analysis on mapping status between MedDRA and ICD using exsiting terminology services UMLS and OHDSI