Danielle Denisko

Danielle is a PhD candidate in the Bioinformatics and Integrative Genomics (BIG) program at Harvard. She joined the Lee lab in March 2022. Her work in the Lee lab centers on elucidating the non-canonical roles of transposable elements. In particular, she is interested in understanding how transposable elements mediate alternative splicing by influencing RNA secondary structure, and in extending this understanding to population and disease contexts using machine learning models. She completed her HBSc with a specialist in Biological Physics and a minor in Mathematics at the University of Toronto in Canada, where she also earned her MSc in Medical Biophysics, developing a computational method called peaKO to detect transcription factor binding motifs. Outside of the lab, she enjoys playing piano, biking, playing intramural futsal, seeing musicals, collecting teaware, and playing with her two precious kittycats: Jelly and Fishie. Contact her through: https://dcdxy.github.io/.