Jacob Zelko
My name is Jacob Scott Zelko! I am currently pursuing my MS in Applied Mathematics at Northeastern University (NEU) and am a trainee of NEU's Roux Institute.
My research career has focused primarily and broadly on population health. In particular, chronic mental illness (i.e. depression, suicidality, and bipolar disorder), social determinants of health and health disparities within intersectional populations, chronic illness, and neurocognitive disabilities. As a convergence of my interests, I am very interested in how we can use mathematical structures (such as categories) to establish meaningful relationships between non-traditional health data sources to gain greater insights into population health. To bridge these worlds, I have been heavily involved with observational health research methods using "Real World Data" and am an active member of both the OHDSI and Category Theory communities.
Sessions
OMOPCDMPathways.jl is a JuliaHealth package that generates patient treatment pathways from scratch, mapping a patient’s journey from initial contact to future interactions. It provides vital insights for observational studies by revealing treatment patterns and care progression. Users can adjust parameters to create customized pathways for specific disease definitions.
We describe a Retrieval-Augmented Generation (RAG)-informed Large Language Model (LLM) workflow for querying observational health data in the OMOP Common Data Model (OMOP CDM). Leveraging Julia software such as FunSQL.jl and OMOPCDMCohortCreator.jl, we explore how the model can automate and refine complex research queries in health research settings. This work explores RAG architectures, query examples, and reproducibility within health informatics.