cthoyt / alhoyt-resume Goto Github PK

I work with biological knowledge graphs, machine learning, and artificial intelligence to identify active molecules and to deconvolute their mechanisms of action.

🧰 My Projects

• 📮 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

⚖️ My Core Scientific Values

• ♻️ 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

📫 My Interblag

Besides my email and blog (on the left), I'm also in the internet in the following places:

• ORCID
• Wikidata
• Google Scholar
• DBLP
• https://scholar.social/@cthoyt