Expert in core Bioinformatics and Structural Bioinformatics techniques, including Druggability Predictions, Drug Design, Homology Modelling, Fold Recognition, Molecular Dynamics, Monte Carlo Simulations, and Virtual Screening. Transforms complex biological problems into actionable drug discovery solutions through advanced structural bioinformatics pipelines, with specialized expertise in AI-driven drug discovery through canSAR - the largest knowledge-based platform for translational research and drug discovery. Currently developing new algorithms and web applications for macromolecule interfaces analysis, structural alignments, and peptide design.
Core Innovation Areas: AI-powered drug discovery • Advanced structural analysis algorithms • Molecular interface characterization • High-performance computational biology tools
Expert in core Bioinformatics and Structural Bioinformatics techniques, including Druggability Predictions, Drug Design, Homology Modelling, Fold Recognition, Molecular Dynamics, Monte Carlo Simulations, and Virtual Screening. Transforms complex biological problems into actionable drug discovery solutions through advanced structural bioinformatics pipelines, with specialized expertise in AI-driven drug discovery through canSAR - the largest knowledge-based platform for translational research and drug discovery. Currently developing new algorithms and web applications for macromolecule interfaces analysis, structural alignments, and peptide design.
Core Innovation Areas: AI-powered drug discovery • Advanced structural analysis algorithms • Molecular interface characterization • High-performance computational biology tools