Shakil Rafi Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
unknown
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Biography and Research Information
OverviewAI-generated summary
Shakil Rafi's research intersects computational methods with diverse analytical applications. He has explored the algebraic framework for approximating functions using neural network polynomials, developing novel approaches for neural networks. His work also extends to socio-economic analyses, including a census-tract level study of ride-sharing patterns in Chicago during the pandemic and an examination of gender and income disparities in the Paycheck Protection Program loan distribution within Arkansas and the broader US. Additionally, Rafi has contributed to the field of microbial genomics, proposing a framework that combines structural genomics and machine learning to study the genomic-island cassette architecture driving pathogenic *Enterococcus cecorum* lineages. His scholarship metrics include an h-index of 1, with 8 total publications and 2 citations.
Metrics
- h-index: 1
- Publications: 8
- Citations: 2
Selected Publications
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Genomic-island cassette architecture drives pathogenic <i>Enterococcus cecorum</i> lineages: Cassette2Vec-EC, a structural genomics and machine-learning framework (2026)
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Gender Disparities in Arkansas, and Income Disparities in the US for the PPP Loan Program (2023)
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Who rides Uber anyway? A census-tract level analysis and clustering of ride-shares for the city of Chicago during the era of the pandemic (2022)
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Who rides Uber anyway? A census-tract level analysis and clustering of ride-shares for the city of Chicago during the era of the pandemic (2022)
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