Michael Montgomery
Stanford PhD candidate in the Engreitz Lab. Passionate about engineering gene regulation and high-throughput tech dev.
- Had a lot of fun writing this “tools of the trade” highlight for our Variant-EFFECTS technology. Check it out! 🛠️
- Very cool work! I'm particularly excited about the integration of multiple models/prediction heads in this approach, given how many aspects of gene regulation likely need to be considered to achieve a specific quantitative design goal.
- Our preprint on designing and editing cis-regulatory elements using Ledidi is out! Ledidi turns *any* ML model (or set of models) into a designer of edits to DNA sequences that induce desired characteristics. Preprint: www.biorxiv.org/content/10.1... GitHub: github.com/jmschrei/led...
- I am elated to share that our manuscript describing Variant-EFFECTS, a high-throughput technology we developed to precisely and quantitatively measure the effects of CRISPR-mediated edits on gene expression, is now published at @cellpress.bsky.social: authors.elsevier.com/c/1kxgiL7PXu...
- Here, we applied Variant-EFFECTS to map the logic of regulatory elements in the genome, to benchmark the quantitative accuracy of sequence models with our gold-standard dataset, and to combine prime editing with computational design strategies to screen for CRISPR reagents that reprogram expression.
