Jacob Schreiber

@jmschreiber91.bsky.social

Studying genomics, machine learning, and fruit. My code is like our genomes -- most of it is junk. Assistant Professor UMass Chan Previously IMP Vienna, Stanford Genetics, UW CSE.

I was delighted to have the unexpected opportunity to give a keynote at MLCB 2025 in NYC last week. I used it to explain how I view deep learning models in genomics not as "uninterpretable black boxes" but as indispensable tools for understanding genomics + designing the next gen of synthetic DNA.

Bild

In the genomics community, we have focused pretty heavily on achieving state-of-the-art predictive performance. While undoubtedly important, how we *use* these models after training is potentially even more important. tangermeme v1.0.0 is out now. Hope you find it useful!

For some reason, hitting "comment" on GitHub is significantly more responsive than a month ago and it freaks me out. Surely there are some important calculations that need to be done before letting my thoughts into the wild?

In the genomics community, we have focused pretty heavily on achieving state-of-the-art predictive performance. While undoubtedly important, how we *use* these models after training is potentially even more important. tangermeme v1.0.0 is out now. Hope you find it useful!

An excellent post about the receptive range of convolution models. "You might reasonably ask: "If I have 100 layers with W=1000W=1000, that's a theoretical receptive field of 100,000 tokens. Doesn't that matter?" The answer is no, and here's why:" guangxuanx.com/blog/stackin...

Why Stacking Sliding Windows Can't See Very Far

Modern LLMs use sliding window attention for efficiency, but why can't stacking sliding windows see as far as theory suggests? A mathematical exploration of information dilution and the exponential ba...

guangxuanx.com

First week as a faculty was successful: one grant submitted, one paper submitted, and revision requests back on one paper. If we extrapolate, by the time I'm up for tenure I'll have 260 grants submitted (none awarded) and 260 papers submitted/reviewed (none accepted). ` lgtm