Helping to Mend the Disconnect Between Biological Research and Medicine: A tale of two -- different -- kinds of graphs

As our tools evolve from scripts and pipelines to intelligent, context-aware systems, the interfaces we use to interact with data are being reimagined.

This talk will explore how accelerated and integrated compute is reshaping the landscape of biobank-scale datasets, weaving together genomics, imaging, and phenotypic data with and feeding validatable models. Expect a whirlwind tour through: · Ultra-fast sequence alignment and real-time discretization · Estimating cis/trans effects on variant penetrance via haploblock architecture · Biobank scale data federation · Knowledge graphs as dynamic memory systems (GNNs - LLM co-embedding)

We'll close by tackling the unglamorous but essential bits: validation, contextualization, and the digital hygiene required to keep model-generated data from becoming biomedical junk DNA. Think of it as a roadmap toward smarter, faster, and more trustworthy data-driven healthcare.