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Privacy-Preserving Genomics
A research direction around genomic computation where sensitive inputs remain protected.
Problem
Genomic data is deeply identifying, but useful analysis often requires shared computation across institutions.
Motivation
Privacy-preserving methods can make collaboration safer without giving up scientific utility.
Approach
Study secure computation primitives, model realistic genomic tasks, and measure practical tradeoffs.
Results
This page will become the home for notes, experiments, and references.
Artifacts
Paper, code, poster, slides, and data links can be added here as the public materials are ready.
Timeline
- Literature map
- Prototype workloads
- Performance notes