Our research focuses on three core pillars at the intersection of AI, computational biology, and biomedical translation:

  • Fungal Immunology: Integrating genomic neighborhood analysis, structural modeling, and molecular dynamics to map fungal immune systems and identify novel antifungal targets.

  • Peptides Research: Building machine learning tools and curated databases to predict, profile, and design antimicrobial and amyloidogenic peptides.

  • Digital Pathology: Developing diagnostic AI tools in oncology centered on histopathology slide analysis, engineered for interpretability and uncertainty quantification.