• Conducted research in high-performance computing of polymers in conjunction with the Materials Research Laboratory (MRL).• Developed novel machine learning architectures on numerically simulated data to predict and optimize polymer nanostructures.• Worked as a teaching assistant for more than 20 mathematics courses, and as instructor of record for two summer courses.• Mentored undergraduates and advanced high school students in numerical analysis and machine learning topics through the Directed Reading Program (DRP) and Summer Research Academies (SRA), culminating in poster and slideshow presentations at a public seminar.

• Developed recurrent neural network algorithms for real-time geospatial data analysis.• Collaborated with a team to create software components for scalable photonic computing applications.• Performed exploratory data analysis on highly sensitive datasets.• Presented findings to a team of senior microelectronics engineers.

• Collaborated with a team of four students on a grant from the National Science Foundation.• Presented a complete proof solving an open problem in enumerative combinatorics using graph theory and algebraic number theory.• Published findings in the mathematics journal Involve.• Presented results at the Joint Mathematics Meeting in 2018.

I worked the cash register and washed dishes at Jack Magee's Pub and Grill.