Our research lab focuses on the development of novel natural language processing (NLP) methods to analyze biomedical big data, including published biomedical literature, electronic health records (EHRs), patient-generated data from millions of patients. This research include: i) the secondly analysis of EHR data for patient care, ii) pharmacovigilance knowledge discovery through mining biomedical literature and iii) creation of knowledge base through database integration, terminology and ontology.

Current projects in the lab include: i) developing NLP methods and applications to extract information from clinical reports; ii) mining biomedical literature to discover novel drug-supplement interactions through genetic pathways; iii) Repurposing existing drugs for COVID-19 treatment through link predictions and literature-based discovery; iv) developing computational methods to predict personalized cancer treatment caused cardiotoxicity in EHRs; v) developing conversational agent for consumers with developed knowledge base.