Applied AI & Knowledge Graph Engineer @ Institute for Systems Biology
I build the Tablassert ecosystem (tools that turn messy tabular biomedical data into NCATS Translator-compliant knowledge graphs) and contribute to open-source projects across the Translator ecosystem.
- Languages: Python, Rust, Go, Elixir, Julia, TypeScript, SQL, Shell, LaTeX
- AI/ML: PyTorch, LightGBM, Scikit-learn, LangGraph, MCP, Transformers, PEFT, Diffusers, Ollama, Snorkel
- Data & Storage: Polars, DuckDB, PostgreSQL, Redis, SQLite, ChromaDB, NumPy
- Knowledge Graphs: Biolink, KGX, LinkML, Ontology Mapping, Neo4j, NetworkX, Centrality Algorithms
- NLP: spaCy, Autoencoders, Sentence Transformers, BERT, Text Classification, PCA, KernelPCA
- DevOps/Infra: Nix/NixOS, Docker, QEMU/KVM, FastAPI, Gin, GitHub Packages/Actions
- Domain: Multi-Omics, Clinical Trials, Polygenic Risk Scores, Quantum Chemistry, TD-DFT