David Burstein
@davidbphd.bsky.social
Assistant Professor | Data science & statistical genetics focusing on neuropsychiatric traits, @ Icahn School of Medicine at Mount Sinai. Google Scholar: https://scholar.google.com/citations?user=_yT7rGsAAAAJ&hl=en&oi=sra Thoughts and views are my own.
Pinned
David Burstein
@davidbphd.bsky.social
· Jul 10
Defining phenotypes across 10,000s of ICD codes is manual & subjective. Phecoder semi-automates this, surfacing clinically relevant codes existing curation missed. Analysis led by Jamie Bennett.
📝 Preprint: www.medrxiv.org/content/10.6...
🖥️ Code: github.com/DiseaseNeuroGenomics/Phecoder
📝 Preprint: www.medrxiv.org/content/10.6...
🖥️ Code: github.com/DiseaseNeuroGenomics/Phecoder
Exciting work from the @cdneurogenomics.bsky.social Thanks to @leelab.bsky.social @panosroussos.bsky.social and @volou.bsky.social for bringing me into this collaboration. Glad to be part of the team. 🧪 #genesky #academicsky @sinaibrain.bsky.social
Today we're publishing nine #PsychAD papers across @NaturePortfolio journals, mapping 6.3M+ brain cells to study aging, disease, genetic regulation and new computational methods. Explore the PsychAD collection: nature.com/collections/... Learn more: psych-ad.org #OpenScience
September 23, 2026 at 4:32 PM
Exciting work from the @cdneurogenomics.bsky.social Thanks to @leelab.bsky.social @panosroussos.bsky.social and @volou.bsky.social for bringing me into this collaboration. Glad to be part of the team. 🧪 #genesky #academicsky @sinaibrain.bsky.social
Is AI detection broken? The key limitation is adaptivity. If someone can see a detector score, ask an LLM to revise, and try again, millions of times if needed, the detector becomes feedback. A user can effectively search their way to a false negative.
#AcademicSky #AI #AcademicIntegrity
#AcademicSky #AI #AcademicIntegrity
AI detection risks undermining academic integrity
AI detection risks undermining academic integrity
Nature Human Behaviour, Published online: 13 July 2026; doi:10.1038/s41562-026-02528-yAI detection risks undermining academic integrity
dlvr.it
July 30, 2026 at 3:41 PM
Is AI detection broken? The key limitation is adaptivity. If someone can see a detector score, ask an LLM to revise, and try again, millions of times if needed, the detector becomes feedback. A user can effectively search their way to a false negative.
#AcademicSky #AI #AcademicIntegrity
#AcademicSky #AI #AcademicIntegrity
🧬 Helpful recent preprint describing the All of Us “All by All” resource: common and rare variant association testing across 392,030 whole genomes and 3,602 phenotypes
Preprint: www.medrxiv.org/content/10.6...
Browser: allbyall.researchallofus.org
Preprint: www.medrxiv.org/content/10.6...
Browser: allbyall.researchallofus.org
www.medrxiv.org
July 29, 2026 at 7:52 PM
🧬 Helpful recent preprint describing the All of Us “All by All” resource: common and rare variant association testing across 392,030 whole genomes and 3,602 phenotypes
Preprint: www.medrxiv.org/content/10.6...
Browser: allbyall.researchallofus.org
Preprint: www.medrxiv.org/content/10.6...
Browser: allbyall.researchallofus.org
Where are scientists discussing papers now: Bluesky or X?
I sampled 350 recent papers that had at least one post on X or Bluesky. The median paper got 29% of its X+Bluesky attention on Bluesky.
Bluesky is substantial, but X appears active.
#AcademicSky #ScienceSky #StatsSky
I sampled 350 recent papers that had at least one post on X or Bluesky. The median paper got 29% of its X+Bluesky attention on Bluesky.
Bluesky is substantial, but X appears active.
#AcademicSky #ScienceSky #StatsSky
July 22, 2026 at 2:30 PM
Where are scientists discussing papers now: Bluesky or X?
I sampled 350 recent papers that had at least one post on X or Bluesky. The median paper got 29% of its X+Bluesky attention on Bluesky.
Bluesky is substantial, but X appears active.
#AcademicSky #ScienceSky #StatsSky
I sampled 350 recent papers that had at least one post on X or Bluesky. The median paper got 29% of its X+Bluesky attention on Bluesky.
Bluesky is substantial, but X appears active.
#AcademicSky #ScienceSky #StatsSky
Over 292,000 public comments already submitted on the proposed OMB rule revising federal grants guidance. The comment period closes today, July 13. Read it & comment: , www.regulations.gov/document/OMB... #SciencePolicy #SciSky #AcademicSky
Regulations.gov
www.regulations.gov
July 13, 2026 at 12:20 PM
Over 292,000 public comments already submitted on the proposed OMB rule revising federal grants guidance. The comment period closes today, July 13. Read it & comment: , www.regulations.gov/document/OMB... #SciencePolicy #SciSky #AcademicSky
Kudos to @pangram.com for quantifying something real. But I think this solves the wrong problem: the issue was never AI-assisted content, it's slop. Don't filter out thoughtful human-AI science collaboration. Instead of flagging AI-written posts, why not flag slop (human or AI)?
As much as 40 percent of longform posts on LinkedIn and X that users actually see are fully AI-generated, according to new research
Particularly notable because we know these platforms are flooded with slop, but this studied what the algorithm actually shows people
www.404media.co/linkedin-and...
Particularly notable because we know these platforms are flooded with slop, but this studied what the algorithm actually shows people
www.404media.co/linkedin-and...
July 10, 2026 at 11:39 PM
Kudos to @pangram.com for quantifying something real. But I think this solves the wrong problem: the issue was never AI-assisted content, it's slop. Don't filter out thoughtful human-AI science collaboration. Instead of flagging AI-written posts, why not flag slop (human or AI)?
Defining phenotypes across 10,000s of ICD codes is manual & subjective. Phecoder semi-automates this, surfacing clinically relevant codes existing curation missed. Analysis led by Jamie Bennett.
📝 Preprint: www.medrxiv.org/content/10.6...
🖥️ Code: github.com/DiseaseNeuroGenomics/Phecoder
📝 Preprint: www.medrxiv.org/content/10.6...
🖥️ Code: github.com/DiseaseNeuroGenomics/Phecoder
July 10, 2026 at 9:22 PM
Defining phenotypes across 10,000s of ICD codes is manual & subjective. Phecoder semi-automates this, surfacing clinically relevant codes existing curation missed. Analysis led by Jamie Bennett.
📝 Preprint: www.medrxiv.org/content/10.6...
🖥️ Code: github.com/DiseaseNeuroGenomics/Phecoder
📝 Preprint: www.medrxiv.org/content/10.6...
🖥️ Code: github.com/DiseaseNeuroGenomics/Phecoder