Very excited to share our study on the benchmarking of methods to detect spatially variable genes (SVGs) and peaks (SVPs), a collaborative work with Zain Munir Patel, Dongyuan Song, Guanao Yan, Jingyi Jessica Li (李婧翌), and Luca Pinello. 🧵 (1/n)

Thrilled to share our inaugural work on spatial transcriptomics where we benchmarked methods for detecting spatially variable genes and peaks. Kudos to the team Zhijian Li,Zain Munir Patel, Dongyuan Song, Guanao Yan, Jingyi Jessica Li (李婧翌) for this great collaboration! biorxiv.org/content/10.110….

1/🧵Introducing Perturb-seq-in-the-loop: a sequential experimental design strategy for perturbation screens guided by multimodal priors, with 3X speedup over state-of-the-art active learning methods! With amazing Romain Lopez Jan-Christian Huetter Taka Kudo Antonio Rios Aviv Regev

The SPECTRA package generates a series of splits with decreasing train-test similarity. Evaluating your models on these splits will give a better understanding of model generalizability. Read the preprint for more info on how this works: biorxiv.org/content/10.110…

Thanks Teng!! 😃

Thanks so much for the shoutout! 🤗 Happy to help and excited that BEAN is contributing to cool discoveries to come!

MLGenX Workshop @ ICLR 2024 thank you for organizing a fantastic workshop at ICLR 2026 and for selecting our paper on DNA-Diffusion for the Outstanding Paper Award! Congratulations to the entire team that made this possible! #ICLR2024 🎉

🚀Excited to announce that I am joining ModellaAI as the Founding CTO! With Faisal Mahmood Max Lu throughout my PhD, we have released several amazing foundation models (UNI, CONCH, and most recently PathChat published in Nature: nature.com/articles/s4158…). Now, we are going all

Excited to share our new paper on Contextual AI models for context-specific prediction in biology in @NatureMethods led by stellar Michelle M. Li (李敏蕊) rdcu.be/dOxQ7 Understanding how proteins work and developing new therapies requires knowing which cell types proteins act

Congratulations to Jayoung Ryu on winning the Best Paper Award at the ICML workshop on AI for Science for her internship work with us at Genentech! We will also be presenting this work next month as part of an oral presentation at MLCB in Vancouver!

First pre-print from the lab! Together with Luca Pinello and Daniel Bauer we developed CRISPR-CLEAR, an experimental and computational pipeline to dissect enhancers at nucleotide resolution. biorxiv.org/content/10.110…

Excited to share our work "CRISPR-CLEAR", an end-to-end workflow for dissecting enhancers at nucleotide resolution! Check out our pre-print and Davide Seruggia's tweetorial below! Lead with Sandra Wittibschlager and Zain Munir Patel and labs Luca Pinello Davide Seruggia and Daniel Bauer.