• Collaborating with 5 students to study the vectorization of inductive bias for ML regression algorithms for analysis and comparison of the biases of different algorithms using scikit-learn

• Problem-solving how to represent vectors of continuous search spaces into a discretely-sized vector

• Researching solutions using Kernel Density Estimation, Conditional Density Estimations, and Hashing Tricks

• Tutored for Mudd's Intro to CS class and helped students work through problems about Python lists, recursion, iterations, assembly, logic circuits, AI, and finite state machines