Daphne Koller ✓
@DaphneKoller · San Francisco Bay Area · joined 29 Sep 2012
Founder and CEO of @insitro, Machine Learning pioneer, co-founder of Coursera, adjunct CS Professor at Stanford, avid traveler
37 778Followers
6Following
62Posts total
198.2KViews on collected posts
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@DaphneKoller But I think there will be magic wand 🪄 for drug discovery and life-saving medicines, perhaps in years or decades.
Small startups like us, big companies like Anthropic or OAI are creating it. So I believe we will find our magic wand for AI x Bio.
424 views · 3 likes
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@DaphneKoller So AI is only capable of reducing the cost of clinical trials by 11-17%?
And primarily in the IND-enabling portion
IMHO it's mission-critical for @FDA to streamline to prevent the U.S. from falling behind in biotech https://t.co/D94Igpyh6b
1.1K views · 5 likes
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@DaphneKoller Spot on from @DaphneKoller. Pure in silico reasoning on thinly sampled biology just generates failures at scale.
The entire AI-bio thesis hinges on shifting the bottleneck from pure compute to the closed-loop physical verification layer: generating multimodal, caus
98 views · 2 likes
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Only about a quarter of human diseases have an approved therapy. By some estimates it's a few percent. Most of those treatments slow a disease rather than stop it.
Closing that gap is what the AI-cures-everything story promises. Build a system smart enough and the cures hidden h
77.7K views · 388 likes
· 82 reposts · 18 replies
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I am so excited to welcome Amy to our Board of Directors! Her unique experience in combining technology and data science with drug development and regulatory policy will be invaluable to us as we move to the next phase of our journey at insitro.
14.6K views · 50 likes
· 5 reposts · 11 replies
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We're thrilled to welcome Dr. Amy Abernethy to our BOD! A clinical research pioneer & hematologist-oncologist, her dedication to data-driven healthcare innovation and transformative drug development on behalf of patients align perfectly with our mission. https://t.co/FsETGqxmLB h
20.4K views · 25 likes
· 4 reposts · 3 replies
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@DaphneKoller @insitro Do you see it. In front of countless media. Wear a suit. The mouth of the talk is like a river. to the end. His hype turned out to be all wrong. It's all a lie.
Moreover. That's what I'm going to show you through. That's him.
13 views · 0 likes
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@DaphneKoller @insitro Those wretched words are a mirror. The wretched nature of such people is exposed in the face of women and children.
25 views · 0 likes
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@DaphneKoller @insitro He has completely no bottom line, shamelessly disgust.He is insulting the girl's genitals.
21 views · 0 likes
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Come join our exec team at @insitro - https://t.co/hzFQ5gXWUp: lead our ML efforts and make a difference to patients! We are building an ML-enabled platform to advance medicines for patients in neuroscience, metabolism and oncology diseases. (Read more: https://t.co/R5jicTAU0h).
27.4K views · 88 likes
· 20 reposts · 21 replies
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Excited to welcome Mike to the @insitro team! Mike has an incredible track record of innovation in clinical trial design, to deliver on the goal of accelerating impact to patients. His contributions will be transformative as we enter the next phase of our journey.
11.2K views · 25 likes
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We’re thrilled to welcome Dr. S. Michael Rothenberg as insitro’s CMO. With 2 decades of clinical care & drug development experience, his innovations in data-driven trial design will be critical as we advance our pipeline toward the clinic. https://t.co/jfWC2RUiHC https://t.co/L4R
12.3K views · 11 likes
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Thank you @matthewherper for the insightful coverage of our team's scientific progress, highlighting how #AI and #Biology can advance us towards our mission of bringing better medicines to patients. For more details, watch our presentation tomorrow at #jpm2024!
9.8K views · 29 likes
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We’re excited to share @matthewherper’s new story in @statnews, which spotlights 3 new research papers posted online describing exciting developments emerging from our #ML platform across our core therapeutic areas. Read more below. #JPM24
23K views · 24 likes
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Dibandingkan akun berukuran sama
4 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. di bawah akun sekelasnya baik pada jangkauan maupun interaksi.
Median tayangan784akun ini924median untuk 10K–100K
Jangkauan, %2.08%akun ini3.62%median untuk 10K–100K
Interaksi, %0.68%akun ini1.52%median untuk 10K–100K
| Metrik | Akun ini | Median untuk 10K–100K | Rasio |
|---|---|---|---|
| Median tayangan per postingan | 784 | 924 | 0.85× |
| Jangkauan (tayangan ÷ pengikut) | 2.08% | 3.62% | 0.57× |
| Tingkat interaksi | 0.68% | 1.52% | 0.45× |
Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
23K7 Jan
9.8K8 Jan
12.3K
11.2K
27.4K12 Jan
2118 Jan
25
1328 Jan
20.4K3 Apr
14.6K
77.7K4 Aug
98
1.1K
4245 Aug
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.16%7 Jan
0.34%8 Jan
0.12%
0.28%
0.49%12 Jan
0.00%18 Jan
0.00%
0.00%28 Jan
0.17%3 Apr
0.45%
0.66%4 Aug
2.04%
0.52%
0.71%5 Aug
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes53.9%650 in total
Reposts10.6%128 in total
Replies5.0%60 in total
Quotes3.0%36 in total
Bookmarks27.5%331 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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