Blog

This is where Jordan plans to write — short, occasional notes from the space between biology, machine learning, and data science. Expect posts on things learned the hard way in high-throughput drug discovery, on building scientific software that survives contact with real data, and on ideas carried over from years spent studying neural circuits.

Topics on deck

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• — Representation learning for transcriptomics, in plain language
• — What neuroscience taught me about noisy, high-dimensional data
• — Machine learning that actually accelerates a lab, not just a benchmark
• — Notes on scalable, durable scientific software