
SFBN Feed: The next generation of life sciences researchers: We talked to up-and-coming women in the life sciences sector to find how to succeed and what they are doing to lift up young scientists into ... #BayArea #Biotech tinyurl.com/ybb5mawr
Angelica Parente
13.6K posts

@draparente
Building the adjacent possible. Prev: @SHV @Nurix_Tx @StanfordMedX @Stanford @SSBiophysics @vijaypande & Bryant labs. Tweets my own🔬🧬🧫🧠💻

SFBN Feed: The next generation of life sciences researchers: We talked to up-and-coming women in the life sciences sector to find how to succeed and what they are doing to lift up young scientists into ... #BayArea #Biotech tinyurl.com/ybb5mawr



Does reading a lot naturally improve writing ability?



Surprised to discover that Thermo Fisher appears to show a fake western blot for the validation of one of their p53 antibodies. I've added a diagram to show the very similar bands. This does not appear to be one of the "published figures", but their own internal data.






Shopify CEO Tobi Lutke explains Goodhart’s law and why he doesn’t like KPIs or OKRs “Goodhart’s law is real. The moment a metric becomes a goal, it’s no longer a useful metric… No metric by itself is a complete heuristic for a complex business. There’s a million different tensions in a company, and you can’t keep all of them in harmony by optimizing for one thing.” For this reason, Shopify doesn’t use KPIs or OKRs. But as Tobi explains, this doesn’t mean they don’t value data and metrics. “We are extremely data informed. We have invested enormous amounts of money and time into systems that give us basically everything at our fingertips… But what Shopify attempts to do is just not over-fit for what’s quantifiable.” People love optimizing for highly-quantifiable things because there’s immediate gratification that comes from seeing a number go up. But Tobi thinks that the most important aspects of a product are rarely quantifiable: “The overlap of the most valuable things you can do with a product and the things that happen to be fully quantifiable are like maybe 20%. Which leaves 80% of a value space unaddressable by the people who only look at quantifiable things.” He continues: “Shopify is comfortable with unquantifiable things like taste, quality, passion, love, hate… The sort of deep satisfaction that a craftsperson feels when they’ve done a job well is actually a better proxy if you allow it to be.” They then have robust analytics systems that tell the company if something’s wrong or a new rollout breaks something. “We think about it as a cockpit for a pilot. The decisions are still made by pilots, and we think this leads to better results… I think there needs to be more acceptance in business of unquantifiable things… And then metrics take a support function.” Source: @lennysan (Feb 2025)

In 2012, two pharma companies faced a defining decision. One chose badly, the other well. If AI can make better decisions than humans, then given the same information it should make the correct choice But it didn't Ingenious experiment by @liangc_science via @adamjkucharski liangchang.substack.com/p/can-ai-make-…

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Introducing AutoScientist. Most model training fails outside of frontier labs. AutoScientist automates the full research loop so it doesn't have to.
