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“My message to the young people is this: if I can get so close to the stars, you can too.” —Zhijian “James” Chen, 2024 #LaskerAward winner for his discovery of cGAS, an enzyme that senses self and foreign DNA #Lasker2024 #LaskerLaureate UT Southwestern Medical Center

Congratulations Rongxin! What an exciting time to bridge genomic research to neural circuits. Looking forward to the many new discoveries in your lab!

Nominations for the 2025 Weintraub Award are now open! Celebrate the achievements of an outstanding graduate student in biology by nominating them here: fredhutch.org/en/research/di…

-If one focuses only on what's known in one's field, then the next experiments are likely underway. What is novel is if one imports an idea from another field that others had not thought about. Top things to learn from Bob Weinberg on The Night Science Podcast 🧵⬇️ podcasts.apple.com/us/podcast/nig…

Wow 🤩 what a great Nobel week!! fundamental biology, foundation of AI/DNN, & AI-driven biology! There are so many things we can do with the AI-driven predictive biology.

Thrilled to see our ExIGS tool featured! A true testament to the power of collaboration. Huge congrats to the team for their hard work! 🧬Ajay Labade zack chiang Caroline Comenho nature.com/articles/d4158…

A rational and thoughtful opinion about biology x AI. "develop generally applicable methods to speed up biology experiments,...to train more capable AIs that can understand and design new types of biological systems." A book would be fantastic Niko McCarty. asimov.press/p/levers

We are thrilled to share that our first paper from my new lab, Spateo (github.com/aristoteleo/sp…) for spatiotemporal modeling of molecular holograms, is now online in Cell: cell.com/cell/fulltext/…. Spateo is a comprehensive analytical framework for 3D whole-embryo spatiotemporal

Join us for the 1st Session of Postdoc Night Science Boston to practice the creative scientific process. Register now – limited spots! Itai Yanai 🗓 Date: Nov 21, 2024 ⏰ Time: 3:30-5:00pm 📍 Location: MIT E15-341 tinyurl.com/4ndpdbsp

We are looking for talented postdocs to join our team at Wu Tsai Neurosciences Institute Stanford Medicine Stanford Neurosurgery! Join us to develop single cell sequencing- and imaging-based genomic tools to understand the cell communication across space and time! Please share with anyone interested!!

In collaboration with Reuben Saunders, Jonathan Weissman's Lab, and Xiaowei Zhuang, we are very excited to release Perturb-Multi: a platform for pooled multimodal genetic screens in intact mammalian tissue. Check it out! biorxiv.org/content/10.110…

EVOLVEpro, our general AI model for protein engineering, is now out in Science! We show the ability to design and evolve dozens of unique proteins to have up to 500 times more activity or function using a combination of LLMs and regression models. 🧵👇 science.org/doi/10.1126/sc…

Gene regulation involves thousands of proteins that bind DNA, yet comprehensively mapping these is challenging. Our paper in Nature Genetics describes ChIP-DIP, a method for genome-wide mapping of hundreds of DNA-protein interactions in a single experiment. nature.com/articles/s4158…

🧬 We’re excited to introduce D&D-seq, a single-cell technology that maps DNA:Protein interactions through molecular footprinting.. Check it out here: biorxiv.org/content/10.110… #Genomics #Epigenetics

Super excited to share our new study from the Jason Buenrostro Lab in nature! We developed a computational method for tracking transcription factor and nucleosome binding using single-cell ATAC-seq and deep learning. Paper: nature.com/articles/s4158…

Now out in Science Magazine we present 'Genome-shuffle-seq': a method to shuffle mammalian genomes and characterize the impact of structural variants (SVs) with single-cell resolution in one experiment. science.org/doi/10.1126/sc…

Meet Bo Xia, a systems biologist using both AI tools and experimental technologies to understand how the genome controls cell fate in health and disease. Learn about Bo in a #WhyIScience Q&A: broad.io/WISBo

Huge congratulations Zhiliang! And welcome to Boston/Cambridge! Looking forward to the many exciting science that you will achieve in your next chapter!

Great blog post. All ML folks working in the bio space should seriously read this. This issue is seriously plaguing the field. Lots of bombastic AI4bio papers getting tons of attention (pun intended) that end up being entirely hollow under the surface. This is BAD for the field.

We are looking for talented postdocs/visiting students to join our team MIT Dept of BE and Koch Institute at MIT to innovate spatial multi-omics technologies, map clinical samples, and integrate AI/ML models to advance next-generation cancer immunotherapy. Please help to spread!!