Summary
Daniel Feller is a Senior Solutions Engineer and AI-focused healthcare data expert who blends a PhD in Biomedical Informatics with 8+ years of industry experience building production ML and clinical-data platforms. He has led federated learning initiatives, implemented OMOP/FHIR-based standardization, and shipped LLM-based clinical applications while guiding teams at Rhino Federated Computing and Rightway. Comfortable across cloud-native stacks (AWS, Docker, ECS/Fargate) and orchestration tools like Airflow, he pairs technical delivery with product ownership to turn research-grade models into reliable clinical pipelines. A long-standing AMIA reviewer and former advisor to digital health startups, he bridges academic rigor and real-world regulatory and privacy constraints. Based in Portland, Maine, he’s known for pragmatic architectures that prioritize auditability and federated privacy — a discipline rooted in his academic research and public-sector experience analyzing claims data.
8 years of coding experience
10 years of employment as a software developer
Nantucket Reds & Flip-flops, Nantucket Reds & Flip-flops at Pomfret School
Bachelor's degree, Philosophy, Bachelor's degree, Philosophy at Haverford College
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Columbia University