At Berkeley, I am working with Dr. Andrew Siemion and Breakthrough Listen, using convolutional neural networks to search for ISM-scintillated narrow-band signals in radio time-frequency data. I created a Python package called setigen that makes it easy to create synthetic narrow-band signals and insert them into real observations for use in evaluating search algorithms and in training computer vision models.