My name is Trevor Christensen. I am a PhD student in Peter Koo’s lab at Cold Spring Harbor Laboratory building machine learning models for regulatory genomics.
I work on the data-centric side of sequence-to-function modeling: how to design the data that makes these models better, and how to make the models themselves faster and more reliable. I’m interested in applying these methods in ways that improve human health and wellbeing, such as nucleic acid-based therapeutics.
Research · Résumé · About · Contact
Selected publications
- Uncertainty-aware genomic deep learning with knowledge distillation. npj Artificial Intelligence (2026). doi.org/10.1038/s44387-025-00053-3
- Mutant polymerases capable of 2′-fluoro-modified nucleic acid synthesis and amplification with improved accuracy. RSC Chemical Biology (2022). doi.org/10.1039/d2cb00064d
Full list on the Research page.
What’s here
This site also contains research notes and writing on whatever topics I’ve been thinking about lately.
- Research: what I work on, my background, and publications.
- Highlighted writing: a curated entry point to the essays, grouped by theme.
- All writing: the full archive, sortable by date, importance, reading time, and inbound links.
- Projects: tools and visualizations I’ve built, like a map of who actually controls territory around the world and a tech tree for real life.
- About: more about me, and notes on how this site is built.
- Site art: credits for the pixel-art backgrounds, with a browsable gallery.
- Contact: how to reach me.
New writing is available over RSS.