Perspectives on life sciences and genomics investing. We write when we have something worth saying — which means infrequently and with specifics.
The technology resolves gene expression at subcellular resolution inside intact tissue. Here is what that actually changes for target identification — and where the hype still runs ahead of the data.
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Short-read sequencing dominated clinical genomics for fifteen years. The instrument economics and turnaround times for long-read are now changing that — faster than most people expected.
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Every drug discovery company claims an AI platform now. We looked at what the actual diligence questions should be — the ones that separate genuine computational biology from a slide deck dressed up as a moat.
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The multi-cancer early detection space absorbed a lot of disappointment in 2024 and 2025. Our view on where the durable value sits — and why the reimbursement question is closer to resolution than the skeptics think.
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iPSC biology has advanced. The manufacturing infrastructure to support commercial cell therapy has not kept pace. We look at where the bottleneck actually is, and which companies are building the right solutions.
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Orphan drug policy, improved natural history data, and platform ERT technologies are converging in ways that make rare disease programs more investable now than they were five years ago.
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The first wave of microbiome companies collapsed under the weight of clinical failures and a mechanism story that was too early to be credible. The companies building now are learning from that — and the biology is genuinely more mature.
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High-throughput plasma proteomics is now fast enough and cheap enough to use at biobank scale. What that means for biomarker discovery — and which companies are positioned to turn it into clinical products.
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The DTx market grew faster than the clinical evidence supporting it. We look at what separates the companies with rigorous outcomes data from the ones running on engagement metrics dressed up as health endpoints.
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Targeted therapies have moved faster than the diagnostics needed to stratify patients for them. We look at why that gap exists and why it is finally starting to close — including the regulatory pressures that are forcing co-development.
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As clinical sequencing volumes grow, the data management, harmonization, and privacy-preserving analysis layer is becoming more valuable than the sequencers themselves. Where we are looking and why.
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La Jolla is one of the densest concentrations of basic research in the US, but the ecosystem for translating that research into companies is less visible than Boston or the Bay. A guide for founders trying to navigate it.
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