Laura Gunsalus, PhD

Senior ML Scientist

Grad Student; ARCS Scholar in Bioinformatics, 2018-2023. Laura was an iPQB bioinformatics graduate student interested in using deep learning approaches to better understand the relationships between genetic and epigenetic variation, genome organization, and disease predisposition. She was co-advised by Professor Katherine Pollard.

Lab papers

1. ChromaFactor- deconvolution of single-molecule chromatin organization with non-negative matrix factorization.

   Gunsalus LM, Keiser MJ, Pollard KS. bioRxiv. 2023 Nov 22.

2. In silico discovery of repetitive elements as key sequence determinants of 3D genome folding.

   Gunsalus LM, Keiser MJ, Pollard KS. Cell Genom. 2023 Oct 11.

3. Learning Molecular Representations for Medicinal Chemistry.

   Chuang KV, Gunsalus LM, Keiser MJ. J Med Chem. 2020 Aug 27.