Dr.  Syed Ahmad Chan Bukhari

Based in CT, United States
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Syed Ahmad Chan Bukhari

Bio:

Dr. Bukhari is a biomedical data scientist working at Yale University, USA. His work is focused on experimental reproducibility, metadata and data standards development, and improving data submission and reuse through the development of methods that leverage various data science technologies. On the application side, he develops tools and techniques to standardize, federate and derive meaningful information from heterogeneous big biomedical data by utilizing machine learning, semantic web and NLP (Natural Language Processing).  He aims to provide non-technical users with scalable self-service access to data, which is typically distributed and heterogeneous. Semantic technologies, based on semantic data standards and automated logical reasoning, alleviate many data access-related challenges faced by biologists and clinicians, such as data fragmentation, the necessity to combine data with computation and declarative knowledge in querying, and the difficulty of accessing data for non-technical users. Secondary analysis and meta-analyses, which combine independent studies, could enhance reproducibility and facilitate new scientific discoveries provided that the data are shared in a FAIR (Findable, Accessible, Interoperable and Reusable) format. At present, he is working in two NIH-funded consortia: the Center for Expanded Data Annotation and Retrieval (CEDAR, http://metadatacenter.org) and the Human Immunology Project Consortium (HIPC, http://www.immuneprofiling.org). He is also an active member of the MiAIRR (Minimum information about an Adaptive Immune Receptor Repertoire sequencing experiment) standardization effort (http://miairr.org). As part of his professional services, he contributed to the organizing of several computing events for IEEE and ACM and served as a PC member. He is part of the editorial board of several international research Journals. His research work has been published in top-tier journals including Nature group and picked by various scientific blogs and international media.

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