Anastasios Noulas and Jimin Tan demonstrating "Wiki Atlas - Rendering Wikipedia Content through Cartographic and Augmented Reality Mediums" #Wikimania wikimania.wikimedia.org/wiki/2019:Rese… wiki-atlas.org

this is awesome! great job, team! i just wanted to plug in a project from the capstone project last year at NYU Center for Data Science done by a team of master's students (Jimin Tan, Chenqin Yang, Yakun Wang, Yash Deshpande) which was on unsupervised video dubbing tanjimin.github.io/unsupervised-v…

Very excited to present our latest work with Jimin Tan and Bo Xia: using machine learning to predict cell type-specific chromatin architecture and enable in silico perturbation studies! NYU Grossman School of Medicine Perlmutter Cancer Center at NYU Langone Health biorxiv.org/content/10.110…

Having problems with experimental Hi-C protocol and its cost? What if you can instead do in silico Hi-C with a tool that accurately predicts a high-resolution and cell type-specific chromatin interaction map? And even enables in silico perturbations and screening? Here you go!1/6

protein structure prediction? ✅ RNA structure prediction? ✅ now, DNA structure prediction: tanjimin.github.io/c.origami-intr… cool work from Jimin Tan et al. from NYU Langone

Our C.Origami work is online Nature Biotechnology! A tour de force by Jimin Tan and a wonderful collaboration with Aristotelis Tsirigos. Check out how we use high-throughput in silico genetic screen to discover new regulation of genome organization. Full manuscript here: rdcu.be/c23mx

C.Origami, a machine learning model for cell type-specific chromatin architecture prediction and discovery of putative regulatory elements! Developed by our student Jimin Tan in collaboration with Bo Xia. Nature Biotechnology 4DNucleome EpigeneticsChromatin epigenetics_papers

Our C.Origami paper is accepted at Nature Biotechnology. Special thanks to Bo Xia, Aristotelis Tsirigos and all my collaborators for their invaluable guidance and support along the way. It has been an amazing journey!

Thank you Aris! I am very lucky to have you and David as my PhD mentor! Looking forward to the next wave of biological discoveries driven by ML and AI.

Our latest work CANVAS is now out! Try our self-supervised learning method to analyze spatial omics data. No cell segmentation required! GitHub: github.com/tanjimin/CANVAS

We were inspired by approaches like C.Origami from Bo Xia and Aristotelis Tsirigos labs, which use deep learning to accurately predict 3D genome structure from separate ATAC-seq, CTCF ChIP-seq, & WGS DNA sequencing experiments. 7/

Former CDS MS student Jimin Tan, CDS Professor Kyunghyun Cho, & others have developed an AI model that identifies tumor microenvironments. Their work, published in Nature Biomedical Engineering, uncovered a new lung cancer subtype linked to poor survival. nyudatascience.medium.com/ai-model-disco…

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

Thrilled to share that I’m joining MGH Pathology, Harvard Medical School & Broad Institute as an Assistant Professor! 🚀 The Xia Lab is entering a new chapter at both MGH and Broad - building biologically informed ML/AI models to decode genome regulation & engineer cell fates. Stay tuned

It was a pleasure to share our latest results with clinicians and physicians at Precision Medicine Grand Rounds!

Readers responded with both surprise and agreement last week when I wrote that the single biggest predictor of how rapidly a team makes progress building an AI agent lay in their ability to drive a disciplined process for evals (measuring the system’s performance) and error