RESEARCH TOPICS

My research focuses on developing and applying computational methods to understand complex biological systems and human diseases.

Bioinformatics and Systems Biology

Integration and analysis of multi-omics data (transcriptomics, epigenomics, metabolomics, lipidomics, proteomics) to identify molecular mechanisms underlying human diseases.

Ontology-Based Knowledge Systems

Development of interoperable ontologies and AI-driven frameworks for data standardization, integration, and literature mining (e.g., VIOLIN, OLAS, MILAM).

Artificial Intelligence and Machine Learning

Application of deep learning and natural language processing to biomedical data, focusing on biological age prediction, disease modeling, and knowledge extraction.

Neurological Disorders

Focus on diabetic peripheral neuropathy (DPN), metabolic syndrome–associated cognitive impairment, and amyotrophic lateral sclerosis (ALS), in collaboration with Drs. Eva Feldman and Stephen Goutman (University of Michigan).

Host–Pathogen Interactions

Ontology-based modeling of infectious diseases and immune responses, in collaboration with Dr. Yongqun He (University of Michigan).

Ongoing and Funded Grants

• VIOLIN 2.0 (NIH/NIAID U24; MPI) Vaccine ontology and knowledgebase development.
• Metabolic Coupling (NIH/NIDDK R01; MPI) Mechanisms linking Schwann cell metabolism and neuropathy.
• Host-Pathogen Interactions COBRE (NIH/NIGMS P20; Core Director) Computational Data Analysis Core (CDAC).
• TRANSCEND (NIH/NIGMS P20; Core Lead) Research Design, Compliance, and Data Management (RDCDC) Core.
• ARPH-A Project (ARPA-H) Co-PI role in decentralized diabetic foot ulcer data analytics.