DATA MANAGEMENT

KNOWLEDGE ENGINEERING

COMPOSITE AI

CLINICAL STANDARDS


Since pivoting into life science / health tech, I've enjoyed collaborating with clinical and health experts to organize expert knowledge via data management and knowledge engineering, for the purpose of empowering automation, artificial intelligence, and machine learning.





TECH STACK


Technology: Ontologies and AI inferencing rules; ETL process; AWS Architecture; SPARQL/SQL; NeptuneDB, PostgreSQL, and Oracle; GraphDB, Protégé, SQL Developer, R-Studio, Pipeline Pilot, and KNIME platforms; VirtualBox; natural programming language; HTML/CSS.
Life Science: Clinical and nutritional studies; production, modification, and characterization of enzymes and small molecules; scaling up fungal, bacterial, tumor cultures; FPLC (HILIC/IEX/SEC); HPLC/LC-MS/QTOF/GC-MS; 1D/2D NMR; bioactive-guided fractionation; cell survival assays and clonogenics; synthetic lethal mutant bacterial library; enzymology and biophysical characterizations; protein/DNA electrophoresis, cloning, and western blots; bioinformatic and phylogenetic analyses; cheminformatic assessments; custom equipment design; microfluidic devices.