Author

Syed Faraz Ahmed

Hong Kong University of Science and TechnologyORCID 0000-0002-6086-0307Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:proteomics· 1 Research Focus:variant effect prediction· 1 Organism:virus· 1

Frequent Co-Authors

Ahmed Abdul QuadeeriD· 3 shared Matthew R. McKayiD· 3 shared Brian LeeiD· 1 shared Elizabeth FinneyiD· 1 shared John P. BartoniD· 1 shared Muhammad Saqib SohailiD· 1 shared

Activity by Year

2020-2025 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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3 shared papersBioinformatics

Ahmed Abdul QuadeerORCID

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3 papers

Recent·Most cited

Back-projection improves inference from sparsely sampled genomic surveillance data

Elizabeth Finney, Brian Lee, Syed Faraz Ahmed, Muhammad Saqib Sohail, Ahmed Abdul Quadeer, Matthew R. McKay, John P. Barton

This study introduces a back-projection model to improve inference from sparse genomic surveillance data by estimating infection times and accounting for sampling biases in SARS-CoV-2 variants.

bioRxiv · Jun 29, 2025 · PreprintEvolutionary Biology

COVIDep platform for real-time reporting of vaccine target recommendations for SARS-CoV-2: Description and connections with COVID-19 immune responses and preclinical vaccine trials

Syed Faraz Ahmed, Ahmed Abdul Quadeer, Matthew R. McKay

The paper introduces a web-based platform called COVIDep that provides immune target recommendations for SARS-CoV-2 vaccine development by integrating genetic and epitope data.

Nature Protocols · Jun 17, 2020Peer-reviewedBioinformatics

Preliminary identification of potential vaccine targets for the COVID-19 coronavirus (SARS-CoV-2) based on SARS-CoV immunological studies

Syed Faraz Ahmed, Ahmed Abdul Quadeer, Matthew R. McKay

This study identifies conserved B and T cell epitopes between SARS-CoV and SARS-CoV-2 to guide vaccine development against the novel coronavirus.

Viruses · Feb 25, 2020Peer-reviewedBioinformatics