Timothée Keyes, PhD

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Timothée Keyes, PhD

Timothée Keyes, PhD

@timothykeyes

AI/ML data scientist and perpetual MD/PhD student @StanfordMed | Mentor @posit_pbc | @PointFoundation | @Princeton | he/they 🇵🇷🏳️‍🌈 #rstats + #pydata

Stanford, CA เข้าร่วม Ekim 2018
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Timothée Keyes, PhD
Timothée Keyes, PhD@timothykeyes·
In the spirit of being an MD/PhD student for the rest of my life, this week I started a new job as a data scientist on Stanford Health Care’s AI team! I’ll go back to clinic eventually, but in the meantime here’s a cartoon that DALL-E made to commemorate the occasion.
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EJ🏳️‍🌈
EJ🏳️‍🌈@elliotoxxo·
Just landed in San Francisco and it is so cold don’t yall know it’s July ???
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Stefano Mangiola
Stefano Mangiola@steman_research·
🧹🤩 #tidyomics made it to @naturemethods! "The tidyomics ecosystem: Enhancing omic data analyses", 👏🏽, @hutchisonwj0, @timothykeyes, and Team! 32 researchers | 26 institutes | 10 countries | 4 continents A #crowd/#community-research success nature.com/articles/s4159… @cziscience
Stefano Mangiola@steman_research

🎉🧹 The #tidyomics ecosystem is official! Into #omic data analysis? Spanning #Seurat @Bioconductor #SCE, #SE, #GRanges, #Citometry? Now, just use #tidyverse ! Co-led with @mikelove and @TonyPapenfuss @WEHI_research #singlecell The preprint biorxiv.org/cgi/content/sh…

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Jason Alan Fries
Jason Alan Fries@jasonafries·
🚀 Checkout our ICLR 2024 Spotlight Poster #165 today (Session 3) 🩺 "MOTOR: A Time-to-Event Foundation Model For Structured Medical Records" ✨ Highlights: - The first TTE foundation model for structured EHRs - Improves SOTA TTE by 4.6% & boosts label efficiency up to 95% - TTE pretraining scales to 16k tasks & reduces GPU memory usage by ~35% - Model weights available for research use! 🔍 Tutorial: github.com/som-shahlab/mo… 🤖 Model: huggingface.co/StanfordShahLa… #ICLR2024 #AI #Healthcare
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Michael Wornow
Michael Wornow@MichaelWornow·
💊Clinical trials cost $100M’s, yet 1 in 3 fail due to insufficient patient enrollment.🚨Despite costing $15B/yr, patient recruitment is a key unsolved bottleneck in drug discovery. Our latest work shows how LLMs can help solve this! 🌐Site: clinicaltrialmatch.stanford.edu (1/7)
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adrian
adrian@dkawjr·
Yesterday, @JCI_insight pubbed our study examining MD-PhD program acceptance & how it varies by demographics & research experience. 1st-gen, Black or reapplying applicants were less likely to be accepted, regardless of research experience & publications. insight.jci.org/articles/view/…
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Timothée Keyes, PhD
Timothée Keyes, PhD@timothykeyes·
shoutout to everyone else who had a really weird phd experience. as long as you tried your best, that’s what really matters. so much of it is out of your control, be kind to yourself
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Timothée Keyes, PhD
Timothée Keyes, PhD@timothykeyes·
defending my phd was wonderful and exciting and terrible and gut-wrenching all at the same time and even though i can’t decide if i feel happy or absolutely dismal right now, i know i did something really hard and that’s an accomplishment to be proud of
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Jonathan H Chen MD PhD
Jonathan H Chen MD PhD@jonc101x·
As soon as I got my hands on GPT4, I challenged it with multiple fraught clinical questions and scenarios to see how I could break it. I asked it to role-play counseling me in the way I had to counsel a real patient's family member through a difficult situation.
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Timothée Keyes, PhD
Timothée Keyes, PhD@timothykeyes·
scientists are really out here writing “data availability” “code availability” and “statistical analyses” sections like they’re playing Two Truths And A Lie and i am losing my mind
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Timothée Keyes, PhD
Timothée Keyes, PhD@timothykeyes·
today i wrote a jupyter notebook that called an R package that called a python package
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Timothée Keyes, PhD
Timothée Keyes, PhD@timothykeyes·
thoughts from the job market: i don’t want to “sell myself.” i want to talk honestly about my skills, interests, needs, and goals - and for that to be enough!!!
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