@gersteinlab.bsky.social
📚 Yale students have returned to campus, so time for a roster meeting!
We again made our Nobel Prize predictions (given how accurate we were last year 😉)
🥇Our top prediction is Habener & Knudsen (GLP-1) with 28.5% of the vote!
🥈 In second is Rothberg & David Klenerman (NGS)
We again made our Nobel Prize predictions (given how accurate we were last year 😉)
🥇Our top prediction is Habener & Knudsen (GLP-1) with 28.5% of the vote!
🥈 In second is Rothberg & David Klenerman (NGS)
September 22, 2025 at 7:01 PM
📚 Yale students have returned to campus, so time for a roster meeting!
We again made our Nobel Prize predictions (given how accurate we were last year 😉)
🥇Our top prediction is Habener & Knudsen (GLP-1) with 28.5% of the vote!
🥈 In second is Rothberg & David Klenerman (NGS)
We again made our Nobel Prize predictions (given how accurate we were last year 😉)
🥇Our top prediction is Habener & Knudsen (GLP-1) with 28.5% of the vote!
🥈 In second is Rothberg & David Klenerman (NGS)
Curious how your favorite gene changes when and how during a biological process?
Want to dive into the kinetics of chromatin + gene expression?
Meet chronODE, our new tool to model multi-omic time-series with logistic equations + ML!
doi.org/10.1038/s414...
Want to dive into the kinetics of chromatin + gene expression?
Meet chronODE, our new tool to model multi-omic time-series with logistic equations + ML!
doi.org/10.1038/s414...
The chronODE framework for modelling multi-omic time series with ordinary differential equations and machine learning - Nature Communications
Here, the authors use a simple equation to study how genes and their regulators switch on/off over time, across the whole genome in tissues and cells. Most changes are gradual, but some genes switch q...
doi.org
August 25, 2025 at 3:37 PM
Curious how your favorite gene changes when and how during a biological process?
Want to dive into the kinetics of chromatin + gene expression?
Meet chronODE, our new tool to model multi-omic time-series with logistic equations + ML!
doi.org/10.1038/s414...
Want to dive into the kinetics of chromatin + gene expression?
Meet chronODE, our new tool to model multi-omic time-series with logistic equations + ML!
doi.org/10.1038/s414...
1/4 🚀 New #ICLR2025 SPOTLIGHT ALERT
Gerstein Lab presents “Enhancing the Scalability & Applicability of Kohn-Sham Hamiltonians”—led by YunyangLI & Z Xia & L Huang & J Zhang & @markgerstein.bsky.social . Joint work with @msftresearch.bsky.social .
Gerstein Lab presents “Enhancing the Scalability & Applicability of Kohn-Sham Hamiltonians”—led by YunyangLI & Z Xia & L Huang & J Zhang & @markgerstein.bsky.social . Joint work with @msftresearch.bsky.social .
May 5, 2025 at 5:16 PM
1/4 🚀 New #ICLR2025 SPOTLIGHT ALERT
Gerstein Lab presents “Enhancing the Scalability & Applicability of Kohn-Sham Hamiltonians”—led by YunyangLI & Z Xia & L Huang & J Zhang & @markgerstein.bsky.social . Joint work with @msftresearch.bsky.social .
Gerstein Lab presents “Enhancing the Scalability & Applicability of Kohn-Sham Hamiltonians”—led by YunyangLI & Z Xia & L Huang & J Zhang & @markgerstein.bsky.social . Joint work with @msftresearch.bsky.social .
New @biophysj.bsky.social paper by Alan Ianeselli, Joe Howard and @markgerstein.bsky.social . A Molecular Dynamics algorithm to rapidly compute protein folding pathways and identify folding intermediates for targeted drug discovery! doi.org/10.1016/j.bp...
April 20, 2025 at 3:04 PM
New @biophysj.bsky.social paper by Alan Ianeselli, Joe Howard and @markgerstein.bsky.social . A Molecular Dynamics algorithm to rapidly compute protein folding pathways and identify folding intermediates for targeted drug discovery! doi.org/10.1016/j.bp...
Our new paper describes the iDASH-winning method for efficient blockchain storage of biomedical data. We cut gas costs by 60% and sped up retrieval 500x with low-level Solidity optimization.
By Eric Ni, Elizabeth Knight, @markgerstein.bsky.social
doi.org/10.1016/j.jb...
By Eric Ni, Elizabeth Knight, @markgerstein.bsky.social
doi.org/10.1016/j.jb...
April 18, 2025 at 2:59 PM
Our new paper describes the iDASH-winning method for efficient blockchain storage of biomedical data. We cut gas costs by 60% and sped up retrieval 500x with low-level Solidity optimization.
By Eric Ni, Elizabeth Knight, @markgerstein.bsky.social
doi.org/10.1016/j.jb...
By Eric Ni, Elizabeth Knight, @markgerstein.bsky.social
doi.org/10.1016/j.jb...
New paper by Gaoyuan Wang, Jonathan Warrell, Prashant Emani and @markgerstein.bsky.social ! Check out our new model QVAE, a fully quantum variational autoencoder with latent regularization: journals.aps.org/pra/abstract...
April 16, 2025 at 1:35 AM
New paper by Gaoyuan Wang, Jonathan Warrell, Prashant Emani and @markgerstein.bsky.social ! Check out our new model QVAE, a fully quantum variational autoencoder with latent regularization: journals.aps.org/pra/abstract...
🚨We have an immediate postdoc opening for US nationals (citizens/green-card holders). Needs to be filled within 6 months. Lots of fun topics (e.g. biosensors, brain genomics, AI for bio, &c). If interested, see jobs.gersteinlab.org
Jobs
Post-doctoral Position in Biomedical Data Science at Yale Applicants are invited for a post-doctoral position at Yale University. The position is for 2 years with possible extensions. The choice of…
jobs.gersteinlab.org
January 21, 2025 at 2:45 PM
🚨We have an immediate postdoc opening for US nationals (citizens/green-card holders). Needs to be filled within 6 months. Lots of fun topics (e.g. biosensors, brain genomics, AI for bio, &c). If interested, see jobs.gersteinlab.org
Excited to share our new paper in @cellcellpress.bsky.social on digital phenotyping from wearable biosensors to characterize psychiatric disorders and identify genetic associations, led by @jasonjliu.bsky.social and @beaborsari.bsky.social @markgerstein.bsky.social: doi.org/10.1016/j.ce...
Redirecting
doi.org
December 19, 2024 at 6:10 PM
Excited to share our new paper in @cellcellpress.bsky.social on digital phenotyping from wearable biosensors to characterize psychiatric disorders and identify genetic associations, led by @jasonjliu.bsky.social and @beaborsari.bsky.social @markgerstein.bsky.social: doi.org/10.1016/j.ce...
New @plosone.org paper by Xiao Zhou, Sanchita Kedia, Ran Meng, and @markgerstein.bsky.social. Our deep learning framework analyzes fMRI scans for early Alzheimer's Disease detection, achieving 92.8% accuracy with a focus on model interpretability: t.co/Ro5WzyJUyZ
December 16, 2024 at 6:42 PM
New @plosone.org paper by Xiao Zhou, Sanchita Kedia, Ran Meng, and @markgerstein.bsky.social. Our deep learning framework analyzes fMRI scans for early Alzheimer's Disease detection, achieving 92.8% accuracy with a focus on model interpretability: t.co/Ro5WzyJUyZ