Daniel Kim

Medical oncology fellow @MSKCancerCenter | previously @StanfordMedRes, @StanfordMSTP, @MITEECS | physician-scientist, full-stack genomics

[Daniel Kim @vervacity]

I was on call on oncology when my thesis work came out - I guess I'm actually becoming a physician scientist? Delighted to share this work and incredibly grateful to all those who made this possible, in particular my advisors @anshulkundaje and Paul Khavari. #ML #genomics

[Nature Genetics @NatureGenet]

🔥HOT OFF THE PRESS🔥 @NatureGenet from @WJGreenleaf @anshulkundaje , Paul A. Khavari, and colleagues:
👉The dynamic, combinatorial cis-regulatory lexicon of epidermal differentiation
🔗https://t.co/dJauetVDZJ

[Adam Rubin @adamjrubin]

Excited to share our paper out today in @ScienceMagazine! We directed high-content, single-cell genetic screens to ask how a disordered adapter protein orchestrates the complex process of T cell activation. (1/4)

https://t.co/63pYd3UalF

[Andrew Ji @andrewlji]

Thrilled to share our new @NatureGenet paper! We mapped human skin at single-cell spatial resolution and found that anatomy is encoded in cell states and neighborhoods, led by PhD student @paularstrpo. Link: https://t.co/mBTaLUix3A
1/9

[Adam Rubin @adamjrubin]

Excited to share our study of T cell signaling, where we directed high-content, single-cell genetic screening to uncover how a single adapter protein orchestrates a complex cellular process essential for health. (1/14)

https://t.co/MmGF01YVLn

[dana_peer @dana_peer]

1) Super excited that COVET and ENVI by the gifted @DoronTheViking finally out in @NatureBiotech providing a powerful tool to analyze the rapidly accumulating spatial transcriptomics data. See https://t.co/U6C7zQ0OTS for the original BioRxiv tweetorial -->

[StarkLab @stark_lab]

We are very excited to present a major breakthrough achievement – the de novo design of synthetic enhancers for selected tissues in fruit fly embryos in vivo using deep- and transfer learning, @deAlmeida_BPet al published today in @Nature https://t.co/TIlPrBKYaK. Thread 👇(1/N)

[Ibrahim I. Taskiran @ibrahimihsan]

Exciting news! Our latest research on "Cell type directed design of synthetic enhancers" has been published in @Nature. We've harnessed deep learning to design enhancers with cell-type specificity. Find our paper here: https://t.co/wC44fDMp70. Highlights below: [1/n]

[Michael Fischbach @mfgrp]

Today we report that an engineered skin bacterium, swabbed gently on the head of a mouse, can unleash a potent immune response against a distant tumor. @yerinchen led the charge w/ help from @DjenetBousbaine, @VeinbachsA, @BelkaidLab. @ScienceMagazine 1/26
https://t.co/bgW3C7CJgh

[Ronald Witteles @Ron_Witteles]

Absolutely overjoyed to share our incredible @StanfordMedRes #Match2023. So excited to welcome this amazing group of physicians and physician-scientists to the @StanfordDeptMed family. Welcome!!! 🥳🎉🍾 @HeartBobH @PoonamHosamani @WendyCaceresMD @StanfordChiefs @AJRogers_ICU

[Anshul Kundaje @anshulkundaje]

We published a paper

"Integrative single-cell analysis of cardiogenesis identifies developmental trajectories and non-coding mutations in congenital heart disease" 1/

https://t.co/B425gbsNwJ

DOI: https://t.co/M3sGpiWPle

[Daniel Kim @vervacity]

@anshulkundaje @midjourney_ai Congratulations!! Thanks for taking on a very clueless grad student all those years ago - I would never have done ML or become a comp bio person if it weren’t for my time in the lab.

[Daniel Kim @vervacity]

though also i am truly excited for the possibilities. keep it coming, i cannot WAIT to use these tools!

[Daniel Kim @vervacity]

i'm on vacation now after a hectic season of fellowship apps, inpatient time, on-call nights, and finally catching up a little on #ML #science - and WOW we got crazy text generation #ChatGPT; image generation #dalle; and even PROTEIN GENERATION @UWproteindesign @generate_biomed

[Daniel Kim @vervacity]

i am definitely not the first and will definitely not be the last to say - plz slow down so simple humans like myself can keep up 😅

[Daniel Kim @vervacity]

Was about to start the Road to Hana #Maui when we stopped to get the match results - so thrilled to be going to @MSKCancerCenter for Heme/Onc! So grateful to all my mentors and community @StanfordMedRes @anshulkundaje Paul Khavari #StanfordMSTP. Excited for this new adventure!

[Illumina @illumina]

This morning at the Illumina Genomics Forum, we unveiled our fastest, most cost-efficient sequencing machine yet – the NovaSeq X series. This technology will slash the cost to $200 per human genome and provide a readout at twice the speed. @WIRED feature: https://t.co/AeIizKAzio

[Bernardo Almeida @deAlmeida_BP]

What are the rules of enhancer syntax? How flexible/constrained TF motif positions within enhancers are? How does the sequence context modulate the contribution of motifs to enhancer function?

Excited to share our work together with @reiterfanny addressing these questions!

1/19

[Bernardo Almeida @deAlmeida_BP]

Excited to share our work on using deep learning to predict enhancer activity from DNA sequence, learn cis-regulatory rules and the importance of TF motif instances, and design synthetic enhancers with desired activities.
@reiterfanny @stark_lab

(1/16)

https://t.co/h5koYdlXya

[IMP @IMPvienna]

The @stark_lab at the IMP has developed a deep learning model, DeepSTARR, which predicts the activity of enhancers from their DNA sequence with exceptional accuracy. Now published @NatureGenet.
The paper 👇🏾 [1/n]
https://t.co/jWTj1JaETS

[Daniel Kim @vervacity]

this tweet is dedicated to my patient for whom we finally got the properly sized catheter. i never expected to learn so much about hospital supply chains

[Daniel Kim @vervacity]

an observation: in medicine we often extend ourselves to perform logistical miracles for our patients' care - which is great training for getting things done, but not gonna lie it's also kinda harrowing 😅 #internyear #medres #wheredidallthesegrayhairscomefrom