Happy to announce the first public release of rolv app. Rolv is your AI-powered research assistant for life sciences! It provides a new way to accelerate data analysis, literature reviews, and hypothesis generation. ✨ Core Features: AI-Assisted Data Analysis: Ask data analysis

Data from the second human treated with a prime edited medicine: a 56-year-old male with chronic granulotamous disease (CGD) had his bone marrow prime edited to insert the missing GT in NCF1, restoring NADPH oxidase function in neutrophils (DHR positivity) several fold beyond the

How embryos stay “on time” as they grow? Happy to share our recent publication: Quantitative modeling of mRNA degradation reveals tempo-dependent mRNA clearance in early embryos (1/7) academic.oup.com/nar/article/53…

Our paper is now out in final form at Nature Genetics! For those who missed the preprint, we used large-scale Perturb-seq targeting transcription factors to push primary fibroblasts into diverse transcriptional states, including those observed in cell atlas studies.

Excited to see this published with additional data following our preprint a while back. Cool combination (in our biased view) of controlled TF expression and machine learning to decode chromatin sensitivity. sciencedirect.com/science/articl….

Genome-wide chromatin recording resolves dynamic cell state changes | from Prof. Michael Elowitz's lab ElowitzLab biorxiv.org/content/10.110…

🚀Landmark paper out! #Chromatin context + motif grammar explain how NGN2 vs MyoD1 guide neurons🧠 vs muscle💪 from similar motifs #MachineLearning + assays uncover generalizable cooperative vs pioneer #TranscriptionFactor binding modes 📄 doi.org/10.1016/j.molc…

More on collective behavior: Our new Annual Review of Biophysics piece - with the stellar Danielle Chase - explores how animals sense, share information, and make group decisions. In honeybees and beyond 🐝 annualreviews.org/content/journa…

The Max Planck Society is good at attracting international postdocs but struggles to retain them, survey finds go.nature.com/4fxBH7U

Tangermeme: A toolkit for understanding cis-regulatory logic using deep learning models 1. Tangermeme is a highly optimized toolkit designed to distill learned cis-regulatory patterns from deep learning models into human-interpretable insights. It focuses on the post-training

The goal of a PhD is not to learn some facts or read a few papers or learn a bunch of techniques. The goal of a PhD is to learn independence, problem solving, how to finish things you start, resilience, & gain the ability to adapt & think creatively. Learning these things is hard

My favorite kinds of scientists are 1) Crazy enough to publish a paper where you give ecstasy to octopuses and study their social behavior 2) Detail-oriented enough to specify in the figure that 30 minutes is exactly 1800 seconds cell.com/current-biolog…

I built an interactive visualization of the Central Dogma. You can speed it up or slow it down. You can set the length of genes, the initiation rates of ribosomes, protein decay rates, and more.

The website and the report for the German National Strategy for Gene- and Cell-based Therapies is now available: nationale-strategie-gct.de/en/ If you want to know how Germany will develop these key therapies.

If anyone ever created a business that - Repurposes all this unhappy postdoc talent - Satisfies their existential drive to do science no matter how painful - Is even a little bit profitable That business would have an infinite reservoir of postdocs to draw from as it scales

I would like to read a 1000-page case study explaining why we still use serum for cell culture in biotech - expensive - poorly defined - ground up cow fetuses are bad vibes - replacing it seems super doable And yet decades pass with no progress. Are we stupid?

3D genome sequencing technology in its mid-teens: past, present, and future dlvr.it/TMdqWb

Sad to see no replicable results. Dataset curation details, scaling benchmarks, even simple inference examples are left out. Misleading at best to call it a publication, its a blog post showing off a private model with no data supporting the claims about scaling and protein deign

A new blog from OpenAI and Retro Bio describes a custom AI model (“GPT-4b micro”) that can design better Yamanaka factors, the proteins used to reprogram mature cells into induced pluripotent stem cells. In 2006, a scientist named Shinya Yamanaka discovered four proteins that

I am excited to share that I will join the Friedrich Miescher Institute FMI science in Basel as a group leader, starting in March 2026 🎉 We will explore cell fate regulation during organogenesis, with a focus on how cell elimination underlies the emergence of functional tissues.