Projects

I develop research and engineering projects in computational biology, machine learning, and network science. My work is centered at BioClarity AI, where I lead development of AI tools for gene therapy and drug discovery.

Featured research & applications

Drug discovery & protein engineering:

• AI-Bind — Interpretable machine learning for protein-ligand binding prediction
• DeepPurpose — Deep learning toolkit for drug-target interaction and drug properties

Graph neural networks & link prediction:

• fm4tlp — Transfer learning for temporal link prediction in dynamic graphs
• ILP — Inductive link prediction methods for isolated and temporal nodes
• observational-bias — Exploring observational biases and shortcuts in link prediction
• inductive_biases — Studying GNN inductive biases through structural entropy

Network visualization & analysis:

• MultiViz — Gephi plugin for visualizing multilayer and complex networks
• Spotify collaboration network — Network analysis of artist collaboration patterns

For a complete list of repositories, visit my GitHub profile.

BioClarity AI — Learn more at bioclarity.ai