George Glidden
I joined the Wheeler lab in September 2022, after graduating from the University of Montana with a degree in mathematics. I am developing MiRROR, a tool for de novo peptide sequencing. Between May 2024 and April 2025, I maintained the animal-tracking software DIPLOMAT. I also co-authored a paper on the effect that palindromes and approximate palindromes have on benchmarks that use reversed sequence decoys. As an undergraduate at the University of Montana, I did research on operator theory (k-graph C*-algebras) and topology (two-bridge links). Prior to that, I interned at NIAID, where I developed an algorithm for repairing noise- and occlusion-induced errors in image edge maps.
My research interests include computational mathematics, machine learning, and bioinformatics, with a particular focus on developing interpretable, mathematically-informed algorithms to automate vision and annotation tasks.
Publications and preprints:
- WAS IT A MATch I SAW? Approximate palindromes lead to overstated false match rates in benchmarks using reversed sequences
- Products, crossed products, and Zappa–Szép products for k-graphs
Software: