I am a deep learning researcher interested in computer vision and medical AI.
I created an unsupervised algorithm that can identify sleep stages in mice by analyzing EEG and EMG signals. This method automates the sleep classification process, removing the need for manual scoring, which saves researchers a lot of time and speeds up sleep research.
After 5 technical rounds, 1 behavioral round, and 3 team matches over 5 months, I finally got an offer from one of the toughest companies in the world to get into.