Research Interests

AI & Data Science

  • Machine Learning

    Supervised, unsupervised, and deep learning for biological data analysis

  • Deep Learning

    Neural networks for protein and peptide analysis

  • Generative AI

    Generative models for biological sequence design

  • Data Science

    Data-driven approaches for biological research

Bioinformatics & Computational Biology

  • Biological Sequence Analysis

    Sequence alignment, motif discovery, and pattern recognition

  • Computational Genomics

    Genomic data analysis and interpretation

  • Protein & Peptide Modeling

    3D structure prediction and molecular modeling

  • Bioinformatics Workflows

    Pipeline development for biological data processing

Drug & Peptide Discovery

  • Antimicrobial Peptide Discovery

    Computational AMP identification and design

  • Peptide & Protein Classification

    Machine learning for protein function prediction

  • AI-Driven Drug Discovery

    Computational drug design and virtual screening

  • Molecular Design

    De novo molecular structure generation

My research spans multiple disciplines at the intersection of computer science, biology, and medicine. Each research area represents a different aspect of my work in applying computational methods to biological problems.

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