Harvard Catalyst Profiles

I am deeply committed to developing the next generation of drug repurposing strategies -- a path to identify existing drugs and determine which patients are most likely to respond to them, and understand the possible underlying reasons. By providing direct support for the design of preclinical and clinical trials, I aim to offer personalized treatment plans and increase the success rates of therapies. My goal is to enable personalized treatments for rare diseases and maximize the potential value of existing medications, ultimately transforming patient care through innovative approaches that bridge the gap between current therapies and unmet medical needs.

1. Integrate multi-omics data, EHR data and biomedical knowledge graph, and conduct a deep-learning heterogeneous networks method for network medicine to discover rare disease mechanisms and potential treatments.
2. Utilize and develop data standards, algorithms (deep learning models), web applications and management platforms to maximize and accelerate the integration of multi-omics data into biomarker screening / drug repurposing in rare diseases.
3. Construct online analysis platform for multi-omics data quality assessment.

• Graph Neural Network
• MultiOmics
• Rare Diseases
• Complex Diseases
• Knowledge Graph