Insights and tangents from my work at the interface of machine learning and biology.

I’m Evan Seitz—a computational biologist exploring what machines are learning from biology. This blog covers methods, experiments, and open questions from my research. Connect with me on LinkedIn to see my full journey.

SEAM: Behind the Paper

Coming soon This post will explore some of the insights and design decisions that went into developing SEAM — an interpretability framework for understanding how mutations reshape regulatory mechanisms in genomic deep learning models. For now, you can read more about the method on GitHub or check out the ICLR GEM Workshop manuscript.