Sugandh Kumar

About

Kumar has done his Ph.D. from the Institute of Life Sciences, Bhubaneswar, and currently working as a research scientist at the University of California San Francisco (UCSF) with Wilson Liao. His expertise broadly lies in computational genomics, chemoinformatics, and machine learning for new disease diagnosis biomarker development and identification of potential therapeutic design. Kumar has more than 10 years of experience in the field of Genomics and Computational Biology.

Employment

• UCSF Medical Center Computational Scientist
  2021 - Present
• University of California, San Francisco Research Associate
  2021 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (32)

• Immunological differences in atopic dermatitis across age groups: insights from single-cell multi-omics.
  Journal of translational medicine 2026 DOI: 10.1186/s12967-026-08288-7
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• Clinical and genetic characterization of genital and inverse psoriasis as a distinct psoriasis endotype
  Journal of Investigative Dermatology 2026 DOI: 10.1016/j.jid.2026.07.002
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• Immunological Differences in Atopic Dermatitis Across Age Groups: Insights from Single-Cell Multi-Omics
  2025 DOI: 10.1101/2025.11.22.689843
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• In vitro and in silico antifungal susceptibilities of thymol against Aspergillus flavus
  The Microbe 2025 DOI: 10.1016/j.microb.2025.100490
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• Unrestrained MyD88 signaling in A20-deficient keratinocytes triggers T cell dependent Psoriatic Arthritis like disease
  Journal of Investigative Dermatology 2025 DOI: 10.1016/j.jid.2025.03.043
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• Patients with PSOriasis and Suppurative Hidradenitis (PSO-SH) share genetic risk factors and are at risk of increased morbidity.
  Journal of the American Academy of Dermatology 2025 DOI: 10.1016/j.jaad.2025.02.015
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• Cellular indexing of transcriptomes and epitopes (CITE-Seq) in hidradenitis suppurativa identifies dysregulated cell types in peripheral blood and facilitates diagnosis via machine learning
  2024 DOI: 10.21203/rs.3.rs-4791069/v1
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• A partitioned polygenic risk score reveals distinct contributions to psoriasis clinical phenotypes across a multi-racial cohort
  2024 DOI: 10.21203/rs.3.rs-4224896/v1
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• Natural products from Streptomyces spp. as potential inhibitors of the major factors (holoRdRp and nsp13) for SARS-CoV-2 replication: an in silico approach.
  Archives of microbiology 2024 DOI: 10.1007/s00203-023-03820-5
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• A partitioned 88-loci psoriasis genetic risk score reveals HLA and non-HLA contributions to clinical phenotypes in a Newfoundland psoriasis cohort
  Frontiers in Genetics 2023 DOI: 10.3389/fgene.2023.1141010
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