Research Projects
Biology 2.0 research at the intersection of single-cell transcriptomics, artificial intelligence, and reproducible computational biology
Single-Cell Transcriptomics
Dynamic analysis of cellular states, trajectories, and heterogeneity
Robust Methodology
Multi-method validation, quantitative state indices, and reproducible workflows
Translational Biology
Computational frameworks for cancer biology and treatment response
LIVING PAPERS
Published research rebuilt from its own data. Each paper becomes an interactive page where readers explore every result, compare conditions and test their own data against the published results. The same data is served to AI agents through MCP, so anyone can query the paper from their own assistant.
First paper: Živanović et al., Pharmaceutics 2023, with its complete real-time viability, flow cytometry, gene expression and model data. More papers, across methods and fields, will follow. Live since September 2026.
For readers
Every curve, cell-death state and gene from the paper, one click from its source figure.
For AI agents
An MCP server gives any assistant the same data, with every answer traced to its figure or table.
For your data
Drop your own instrument export and compare it with the published curves. The file never leaves your browser.