Neil Sarkar
President and Chief Executive Officer at Rhode Island Quality Institute
- Role
- President and Chief Executive Officer at Rhode Island Quality Institute
- Location
- Providence County, RI, US
- LinkedIn followers
- 500 followers
About Neil Sarkar
A dynamic and results-oriented leader, Dr. Sarkar brings a strong foundation in biomedical and health informatics to a proven track record of executive and scholarly success. His executive experience demonstrates expertise in strategic planning, organizational leadership, and financial management within healthcare. Coupled with his role as tenured faculty member at Brown University, he possesses deep insights into the unique needs of academic health systems, including research support, educational technology, and faculty collaboration. Dr. Sarkar\'s passion lies in integrating operational excellence through health information technology with the drive for innovative, next-generation solutions to address clinical challenges across the spectrum of medicine. His expertise spans health IT strategy, data analytics, interoperability, and a commitment to leveraging technology for improved outcomes in clinical, research, and educational domains.Specialties: Artificial Intelligence in Medicine, Health Informatics, Biomedical Informatics, Translational Bioinformatics, Biodiversity Informatics, Library Science, Data Mining, Phylogenetics, Genomics, Knowledge Representation, Ontologies, Heterogenous Data Integration, Big Data Analytics, Natural Language Processing
Experience
President and Chief Executive Officer
Rhode Island Quality Institute
Apr 2020 — Present
Education
Michigan State University
BSc, Microbiology, Computer Science, Philosophy
1995 — 1999
Syracuse University
MLIS, Digital Libraries
2006 — 2008
Columbia University
PhD, Biomedical Informatics
1999 — 2004
Skills
- Data Mining
- Science
- Biochemistry
- Knowledge Representation
- Electronic Medical Record (Emr)
- Bioinformatics
- Biostatistics
- Artificial Intelligence
- Public Health
- Genetics
- Proteomics
- Natural Language Processing
- Microbiology
- Ontologies
- Ruby
- Comparative Genomics
- Statistics
- Molecular Genetics
- Machine Learning
- Clinical Research
- Ehr
- Informatics
- Genomics
- Sequencing
- Cancer
- Medicine
- Lifesciences
- Computational Biology
- Data Analysis
- Life Sciences
- Data Visualization
- Data Management
- Pcr
- Sas
- Biomedical Engineering
- Scientific Writing
- Sequence Analysis
- Dna Sequencing
- Phylogenetics
- Dna
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