• Worked with professor Scott Wehrwein and other students to use semantic features from deep learning semantic segmentation architectures and a small neural network to create a richer notion of pixel similarity than traditional RGB euclidean distance.

• Interfaced with an implementation of the Panoptic-Deeplab panoptic segmentation model from Facebook Research.

• Wrote code in Python using Numpy, OpenCV, and PyTorch.

• Redesigned the website for the Great Puzzle Hunt for better user interaction and accessibility.

• Helped streamline the registration process.

• Wrote HTML, JavaScript, and CSS code using ReactJS and Meteor.

• Worked with professors Filip Jagodzinski and Jeanine Amacher to create a command-line program to process and compare sequences of amino acids in FASTA files.

• Wrote code in Python to collect data from FASTA files and calculate enrichments for specific amino acids in a PDZ-binding motif-satisfying sequence.