Rushikesh Rajaram Lagad

Researcher

University of Arkansas
Last publication 2026 Last refreshed 2026-05-02

grad_student

2 pubs

Research Areas

OverviewAI-generated summary

Rushikesh Rajaram Lagad's research focuses on the application of machine learning techniques to genomic data for predicting pathogenicity in bacteria. His work, exemplified by the development of Cassette2Vec-EC, utilizes cassette-aware genomic machine learning models specifically for Enterococcus cecorum. This approach aims to improve the prediction of pathogenicity, contributing to a deeper understanding of microbial disease mechanisms.

Lagad's recent publications highlight his engagement with advanced computational methods in microbiology. His research is situated within the broader fields of bioinformatics and genomic studies, seeking to leverage technological advancements for biological insights. His work contributes to the growing body of research utilizing AI and ML in biological and medical contexts.

Metrics

  • Publications: 2

Selected Publications

  • Cassette2Vec-EC: cassette-aware genomic ML for Enterococcus cecorum pathogenicity prediction (2026)
    DOI OpenAlex
  • Cassette2Vec-EC: cassette-aware genomic ML for Enterococcus cecorum pathogenicity prediction (2026)
    DOI OpenAlex

View all publications on OpenAlex →

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