Risk prediction
Deterioration, readmission, mortality, triage, or operational risk questions with clear endpoints.
I am interested in fully remote AI research and research-engineering roles, healthcare and health-tech collaborations, university/hospital research partnerships, and evidence-driven AI projects.
Applied AI Research Engineer
Missouri City / Greater Houston, Texas, USA
Best-fit conversations: applied AI research, healthcare AI, clinical NLP, trustworthy AI, research software engineering, model evaluation, real-time intelligent systems, and collaboration around non-dilutive R&D or research prototypes.
A good first conversation starts with the clinical or operational problem—not with a model. I am especially interested in problems that can begin with de-identified/public data and mature toward controlled institutional research with appropriate governance.
Deterioration, readmission, mortality, triage, or operational risk questions with clear endpoints.
Information extraction, retrieval evaluation, longitudinal summarization research, and safety analysis.
Calibration, bias/fairness, failure analysis, reproducibility, model monitoring, and deployment boundaries.