I work with biological knowledge graphs, machine learning, and artificial intelligence to identify active molecules and to deconvolute their mechanisms of action.
📮Bioregistry: an integrative registry of biological databases, ontologies, and nomenclatures. 🧬Biological Expression Language (BEL): a domain specific language for representing molecular biology 🌶️PyBEL: the computational ecosystem for compiling, querying, and analyzing knowledge graphs encoded in BEL 📛PyOBO: making ontologies and semantics accessible 🤖PyKEEN: knowledge graph embedding models for humans ♻️Reproducibility: code is part of the scientific process. It should be documented and re-usable by anyone. 🔓Openness: science is best when people can build on each others' work. Sharing data, code, and ideas has benefitted everyone, and is also the responsiblity of a scientist to pay forward. 🎯Thoroughness: quality is dependent on taking great care throughout all steps
Besides my email, blog, and Twitter (on the left), I'm also in the internet in the following places: