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Wrapping up my first month in industry after nearly a decade in academia.. Here are my thoughts:

The question of whether it is worth it can be answered in a way: if you read the Biorxiv, would you go back and (re)read the final published version? If not, then the real value added was minimal.

It's as ifffff Sabatini got $25M, then realized this money is worthless w/o a lab (unless working in Mom's basement?)....so they commissioned The Boston Globe to write an article about giving him a second chance? 🤔 That's "convenient" timing Bill Ackman! Well done.

I want to be clear: hanging a flyer does not change a campus culture or solve any problems. There are a lot of useless flyers hanging everywhere. But, it is a good first step. It's better than a like or rt. It sends an important signal about our community values. Put it up!! <3

At last! Happy to share our paper on CellOracle – a computational method for dissecting cell identity via network inference and in silico gene perturbation, led by the amazing Kenji Kamimoto: nature.com/articles/s4158…

I’ll talk about GRN and single-cell analysis at Tokyo University on March 8. Please feel free to drop by! 8日に東京大定量研でセミナーをします。お時間あれば是非お越しください！

Hoping to majorly scale up some single-cell experiments using this tech!

So excited for you and for this talk!! 😊

📚 Just released! Our review on gene regulatory network inference in the era of single-cell multi-omics is out in Nature Reviews Genetics! 🔬 We explain how methods like CellOracle, SCENIC+, and more decode the intricate interplay between chromatin, transcription factors, and genes 🧬

The cutest "Individal" !!!

The problem w/ UMAP edgelords is the disregard for known biology. A simple exercise is take a few experimentally validated cell type specific genes (there are many), and ask how often do cells expressing the same cell type determinant 'happen to' be close together on a UMAP.

Beautiful work and such an interesting finding!!

A student told me, "I don't get the difference between model fitting by: 1. minimum Mean Square Error (MSE) and 2. Maximum Likelihood Estimation (MLE)" To help this student, I built out this #Python Matplotlib dashboard for fitting a Gaussian parametric distribution to data

Dr. Butka now!!