Ron Alfa

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Ron Alfa

Ron Alfa

@Ronalfa

CEO & Co-founder @NOETIK_AI Using AI to actually solve cancer. Ex-@RecursionPharma | Stanford MD-PhD

San Francisco, CA Katılım Şubat 2011
2.5K Takip Edilen7.1K Takipçiler
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Ron Alfa
Ron Alfa@Ronalfa·
1/ Spatial transcriptomics is among the richest view of human biology that we have: 18,963 genes mapped at subcellular resolution. It's also almost never collected outside of research settings. So we trained a foundation model to generate it from a clinical H&E image alone. Meet TARIO-2. 🧵 noetik.blog/p/tario-2-a-wh…
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Logan Kilpatrick
Logan Kilpatrick@OfficialLoganK·
it’s surprising to me how many people seem to not understand that great models are built with super high quality curated data finding novel ways to create / get this data is a huge edge
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Ron Alfa
Ron Alfa@Ronalfa·
@sethbannon Thank you for funding these moonshots and proving the investment thesis! 🚀
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Seth Bannon
Seth Bannon@sethbannon·
@Ronalfa Grateful for all you do to create a better future for us all!
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Ron Alfa
Ron Alfa@Ronalfa·
big pharma has been running cheap scalable high throughput experiments with robots for decades, more cell titer glow was never the problem
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Ron Alfa
Ron Alfa@Ronalfa·
We need a negative Like for those posts that need to be called out with a little bit less loss of social capital.
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Ron Alfa
Ron Alfa@Ronalfa·
matcha looks good, but do people actually think it tastes good?
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Brendan (can/do)
Brendan (can/do)@BrendanFoody·
When we were starting @mercor_ai, most of the top investors in Silicon Valley told us that the AI data market would collapse. They had no understanding of the market, but advised us that we should pivot the business to another industry. The most dangerous thing a founder can do is be too deferential to investors with less context. Nvidia, OpenAI, Anthropic, SpaceX, Meta, and most of the legendary companies started as deeply contrarian. If any of the founders had listened to investor consensus, those businesses would not exist.
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Angelica Parente
Angelica Parente@draparente·
This. Anyone who has built in biotech knows how important great RA's are and how disruptive it is when they leave. I remember talking to a guy at DropBox about "rock engineers", people who are just like, happy doing their job, know how everything works, are hyper productive, and have no desire to climb a ladder because they love what they do. Solid and reliable. So much of biotech runs on people like this. More should be done to incentivize them.
Liam Bai@liambai21

The existence of this role reveals something deeply broken in biotech. The person in this role is closest to the scientific truths, but she has every incentive to leave the bench.

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Ron Alfa
Ron Alfa@Ronalfa·
@dagarfield Yes will also note the scientist job comps are awesome.
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Ron Alfa
Ron Alfa@Ronalfa·
this week’s yield, hundreds of human tumors: breast, colon, kidney, liver
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owl
owl@owl_posting·
its really the sort of creature that appears almost everywhere in your life once you start trying to notice it very excited to (permanently) return back to sf in a month-ish
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Kamsi
Kamsi@kamC0des·
@Ronalfa Ron are you guys hiring any swes or ai engineers?
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Jacob Kimmel
Jacob Kimmel@jacobkimmel·
this is our most dynamic summer yet @newlimit - 3X data efficiency for reprogramming AI from lineage generalization - >100X manufacturing scale for our lead therapeutic asset - +4 leads that restore function in old hepatocytes, +5 payloads in endothelium & lots more in our blog
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Keşfet

@jackdent @joshim5 @chaidiscovery @michellearning @sethbannon @ninklefitz @ozalabCP @mercor_ai