Summary
Glenn Wright is a Lead Data Scientist based in Oakland with over a decade of hands-on experience turning messy healthcare data into production-ready ML solutions. He builds deep learning and feature-engineering pipelines for home care and hospice EHRs, fine-tunes LLMs on clinical outcomes, and designs HIPAA-compliant deidentification and synthetic narrative pipelines. Prior roles at Kaiser Permanente and multiple public health agencies reflect deep expertise in SAS/SQL reporting, record linkage, and rapid-turnaround epidemiologic analyses. Glenn combines practical engineering (PyTorch, TensorFlow, Databricks, Azure) with applied research instincts, having implemented Fellegi–Sunter deduplication and OCR/IE prototypes that bridge unstructured notes and structured records. He won his company hackathon for a patient narrative synthesis prototype, signaling a knack for creative, product-focused ML tools. His background in public policy and economics helps him translate clinical questions into measurable, auditable solutions.
12 years of coding experience
18 years of employment as a software developer
B.A., Ecnomics with Honors, B.A., Ecnomics with Honors at University of Michigan
M.P.A., Public Policy, M.P.A., Public Policy at The LBJ School of Public Affairs