Dr. Bukhari is an Assistant Professor and Director of Healthcare Informatics at St. John's University, New York. He received his Ph.D. in Computer Science from the University of New Brunswick, Canada, and then went on to complete his postdoctoral fellowship at Yale School of Medicine, where he worked with Stanford University, Center of Expanded Data Annotation and Retrieval (CEDAR) to develop data submission pipelines to improve scientific experimental reproducibility. His current research efforts are concentrated on addressing several core problems in healthcare informatics and data science. He mainly focuses on devising techniques to semantically confederate heterogeneous biomedical data and develop Artificial Intelligence-based predictive models for clinical outcomes. These techniques also alleviate many data access-related challenges faced by healthcare providers. Dr. Bukhari is a senior IEEE member and a distinguished ACM speaker who serves as an editorial board member of multiple scientific journals. In September 2019, he was awarded the IEEE Technological Innovation Award. His research work has been published in top-tier journals and picked by various scientific blogs and international media.
Dr. Bukhari, Asst. Professor and Director Healthcare Informatics at St. John's University, New York
Terminology and Standards: SNOMED CT, RxNorm, LOINC, ICD, CPT, CDISC, HL7 (FHIR), NCDPD, IHTSDO, CDISC, and more
Knowledge engineering: Ontologies, Linked Data, Visualization
Artificial Intelligence: Expertise in Machine learning and Deep learning platforms
Data integration: EHR, Lab and Research data, Clinical notes
Natural language processing, Natural language generation, Hardware with integrated AI
Programming Languages: Python, PHP, Java, Javascript, HTML5, Linux/Unix/Shell environments
Databases: NoSQL and SQL e.g., Cassandra, Relational (MySQL, PostgreSQL, SQLite), Graph (Neo4J)