Syed Ahmad Chan Bukhari

Dr. Bukhari is an assistant professor and director of research at CCPS. He is also the coordinator of healthcare informatics at CCPS St. John's University, New York. He received his Ph.D. in computer science from the University of New Brunswick, Canada, and completed his postdoctoral fellowship at Yale University. He was also a core research team member at the CEDAR Metadata Center at Stanford University.

With the Stanford team, he studied scientific and experimental reproducibility and completed several projects to improve biomedical data FAIRness and reproducibility. Dr. Bukhari received NIH (ORISE) NCBI fellowship in 2016 to work at National Center for Biotechnology Information (NCBI), Bethesda. Dr. Bukhari developed protocols and pipelines (MiAIRR, CAIRR, and CEDAR-to-NCBI ) for the standardized authoring, validating, and submitting scientific data to the NCBI repositories with NCBI scientists. His developed resources are now considered de facto resources for several biomedical communities, such as AIRR-C & Antibody Society.

At St. John's University, he teaches healthcare informatics and computer science to graduate and undergrad students. His current research efforts focus on addressing several core problems in healthcare informatics and data science. Dr. Bukhari has received multiple internal and external grants to support his research efforts. His lab (bukharilab.org) has recently received an NSF grant to work on biomedical content authoring and structured publishing.

Read Dr. Bukhari's research work at Google Scholar: https://scholar.google.com/citations?user=JhWJ5PEAAAAJ&hl=en

Lab Website: bukharilab.org

Awards and Honors
★ ACM Distinguished Speaker
★ Senior Member IEEE
★ Co-Chair ACM New York Metro Healthcare Informatics
★ NIH-NCBI Fellow 2016
★ Recipient of IEEE Technological Innovation Award 2019○ Healthcare Informatics
○ Healthcare Data Standards and Vocabularies
○ Database Management Systems for Healthcare
○ Software Development◘ Biomedical and Health informatics
◘ Trustworthy AI
◘ Machine Learning
◘ Biomedical Information Retrieval

Courses Taught

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