Justin Hong (@justjhong.bsky.social)
@justjhong
CS PhD student @Columbia | Formerly @YosefLab @ucberkeley | Long time golden bear 🐻
For our third Computational Spatial Biology seminar, we will speaking with @wencksternjo about VirTues, a foundation model framework for analyzing complex tissue architectures. Tune in this Wed, May 7 @ 11AM ET! Full schedule and last week's recording: csbseminar.github.io
For our next Computational Spatial Biology seminar, we will talking with @SiyuHe7 about CORAL, a deep graph generative model learning integrated representations of multimodal spatial-omics data. Tune in next Wednesday, April 30 @ 12PM ET! Full schedule: csbseminar.github.io
To systematically resolve how candidate regulators impact macrophage functions we collaborated with @YosefLab who recently developed MrVI, a deep generative model designed to dissect how sample-level covariates like gene perturbation affect gene expression in single cells. (8/20)
We are excited to share our new study @Cancer_Cell identifying Zeb2 as a master genetic switch controlling the tumor-associated macrophage (TAM) program. Led by @FadiSheban, @TgSanPhan, @CuriousKX & @FlorianIngelfi1. (1/20) cell.com/cancer-cell/fu…
To kick off the Computational Spatial Biology seminar series with @nathan_levyy, we will be discussing LUNA with @yistyu. LUNA is a generative AI model that reassembles complex tissue structures from gene expressions of cells. Tune in next Wednesday, April 9 @ 11AM ET!
Excited to announce a webinar series I'm hosting with @nathan_levyy starting April 9! With the release of many exciting new approaches to analyzing spatial biology, we wanted to offer a platform for the authors to present their work. For more details see: csbseminar.github.io
Announcing the Computational Spatial Biology seminar! With @justjhong, we’re bringing together researchers at the intersection of AI & spatial biology to share their work. Kicking off April 9th with Yist Yu presenting LUNA! Explore the lineup here: csbseminar.github.io
It is always exciting when I have to adjust the y-axis limits of this plot, but extra special this time having been part of this project at @vevo_ai!
Historic day for builders in bio: We’ve open-sourced @vevo_ai’s #Tahoe100M, largest single-cell atlas ever—by a wide margin—as the inaugural contribution to @arcinstitute’s Virtual Cell Atlas, ready for download today. A leap forward for AI models of cells & drug discovery. 🧵
A Comment from @elhamazizi and colleagues discusses how AI methods will enable the interpretation of high-dimensional cancer data to provide new insights into our understanding of tumor progression and resistance. nature.com/articles/s4159…
Recently started an internship at @sanofi with @vagar112, working on optimizing mRNA molecules for vaccines/therapeutics. Looking forward to getting to know another side of RNA biology...
How can we better reveal cellular 🦠and sample🧍variation from large-scale scRNA-seq studies? We have released a new and improved deep generative model, #MrVI, in scvi-tools and on bioRxiv, accompanied by real-world use cases. A thread... 🧵1/ biorxiv.org/content/10.110…