Ben Strober

Flashzoi: an enhanced Borzoi for accelerated genomic analysis AbstractMotivation. Accurately predicting how DNA sequence drives gene regulation and how genetic variants alter gene expression is a central challenge in

Happy to share that Flashzoi is now published!
We enhanced Borzoi with RoPE & FlashAttention for >3x faster training/inference & 2.4x reduction in memory usage.
This brings large-scale genomic analysis and fine-tuning within reach of academic budgets.
📄: doi.org/10.1093/bioi...

Strober Lab The Strober lab is a computational group at Boston Children's Hospital (a Harvard Medical School affiliated hospital) focused on developing statistical and machine learning tools applied to human gene...

Exciting updates!!
(1) I just opened my lab at Boston Children’s Hospital (Harvard-affiliated)
(2) I’m hiring a postdoc focused on integrating GWAS and functional genomic data. Reach out if you’re interested or connect at ASHG next week!
(3) Learn more at stroberlab.com

Higher eQTL power reveals signals that boost GWAS colocalization Expression quantitative trait locus (eQTL) studies in human cohorts typically detect at least one regulatory signal per gene, and have been proposed as a way to explain mechanisms of genetic liability...

Excited to share this preprint from first author Jon Rosen, a postdoctoral fellow in the @klmohlke.bsky.social lab and my lab. We examine eQTL study sample size and how this affects signal discovery and rates of colocalization with GWAS.

www.biorxiv.org/content/10.1...

Feel free to reach out if you are interested in working together or joining my group!

I’m grateful to my mentors, @alexisbattle.bsky.social (phd) and Alkes Price (post-doc).

My group will build new statistical and machine learning tools to uncover disease biology by integrating GWAS with functional omics (transcriptomics, proteomics, etc) data.

We will also explore applications in precision medicine.

I'm excited to share I'll be starting a faculty position at Boston Children's Hospital in the Computational Health Informatics Program (CHIP) this October!!

Excited to share our work on using pathway-specific polygenic scores to discover gene-environment interactions www.medrxiv.org/content/10.1...