– Running, testing, critiquing, and editing code for data analysis written in Python and other languages.– Focus on curating datasets for generative AI tailored to data analysis.– Required to quickly learn and use various libraries and tools for data visualization and processing.– Using communication skills to produce written reports on my work for others to review.– Reviewing other employee’s work and providing detailed feedback.

Performed research with the following results:Machine Learning | "Contextual Subspace Approximation with Neural Householder Transforms," Under Revision– Joint project together with Kerrick Johnstonbaugh, Michael Przystupa, and Martin Jagersand– Improved the numerical stability of reinforcement learning algorithms used to control robotic arms.– Utilized skills in linear algebra and higher-dimensional geometry gained throughout my PhD.Algebraic Geometry | "The Birational Geometry of K-Moduli Spaces" PhD Thesis– Presents solution of a problem which had been unsolved for more than 10 years by the mathematical community.– Research includes graph theory, linear algebra, and other areas applicable to computer science and ML.Presentations : Invited speaker at seven conferences and seminars (UW, UIC, UCSD, UK, AIM, MSRI, Simons Center).Honors : Honorable mention for the 2021 NSF Graduate Research Fellowship.

Lecturing for a class of 70 students in Precalculus. Managed TA and Grader.

Tutor for Penn State student athletes in Physics, Mathematics, and Spanish.

Grading for upper division Number Theory course.