Daniel Feller, PhD
Building Privacy-Preserving Healthcare Data Infrastructure
Senior Solutions Engineer at Rhino Health | PhD in Biomedical Informatics
About
I design federated computing infrastructure in healthcare and other regulated industries to collaborate without moving sensitive data. Currently at Rhino Health, I've led the design of federated computing projects with major biopharma companies and built real-world data networks spanning.
My background combines deep technical expertise with real-world implementation experience. I've published 30+ peer-reviewed papers on clinical NLP, HIV research, and health informatics, and I'm currently writing a book on healthcare data standards based on years of hands-on experience with OMOP and FHIR.
Previously, I led a data science team at Rightway Healthcare and completed my PhD at Columbia University researching machine learning and human-computer interaction in clinical settings. I have served as an advisor to several companies including Sword Health.
What I Do
Federated Learning Infrastructure
Privacy-preserving ML architectures, distributed model training, clinical trial optimization, pharmaceutical partnerships
Healthcare Data Standards
OMOP CDM implementation, FHIR interoperability, genomics data harmonization, LLM-powered standardization
Solutions Engineering
Technical design for biopharma collaborations, real-world data network architecture, translating AI requirements into deployable systems
Clinical ML & NLP
EHR-based prediction models, clinical note analysis, social determinants extraction, infectious disease research