About Me

Hi there! I'm finishing my PhD in Mathematics at Rice University, specializing in quantum algebra and category theory. You can check out my research interests and publications in the Research section! I'm a big fan of both machine and human learning! You can find some past data science projects in the Portfolio section, or find more about my teaching experience in the Teaching section. When I'm not doing working, you'll probably find me taking care of my cats or my garden.

Education: Rice University, PhD candidate, Mathematics.
Amherst College, BA magna cum laude, Mathematics and Philosophy.

Portfolio

TotallyMakesScents
[APP][EXECUTIVE SUMMARY][GITHUB]
Developed a perfume recommender system capable of generating recommendations from user queries.

Grocery store sales predictions
[EXECUTIVE SUMMARY][GITHUB]
Analyzed data from Corporacion Favorita grocery stores to construct predictive models for sales forecasting.

County-Level Voting Behavior
[EXECUTIVE SUMMARY][GITHUB]
Analyzed county-level demographic and electoral data to establish how voter demographics affect voting behavior.

Research

Research Interests: Category Theory, Quantum Algebra, Quantum Computation and Deep Learning, Hopf Algebras, Representation Theory, Tensor Categories, TQFTs.

Publications: Twists of graded algebras in monoidal categories

Notes and Talks:
Quantum Computation and Information
An introduction to the mathematical foundations of quantum computation and information.
State Sum models on spherical fusion categories
Seminar talk slides synthesizing Catherine Meusburger's 2022 paper on state-sum models with defects on spherical fusion categories.
Moduli Groupoids
Seminar talk slides on moduli groupoids with an eye towards stacks.
Primer on Representation Theory
Notes on the connections between representations of algebras, groups, and Lie algebras.
Matrix Decompositions for Applications
A catalogue of matrices and their decompositions used in data science and machine learning, along with proofs of their interesting properties.

Teaching

Notes:
Implementation of Scholarship of Teaching and Learning in College Math Classrooms
This is an annotated bibliography focusing on literature where researchers (1) attempted to implement research-based pedagogy within college mathematics classrooms, or (2) analyzed successes and failures in implementing lessons from SToL at the college level.

Present Teaching (as instructor of record):
MATH 211: Ordinary Differential Equations and Linear Algebra (Spring 2026)

Past Teaching (as instructor of record):
MATH 211: Ordinary Differential Equations and Linear Algebra (Spring 2024)
MATH 211: Ordinary Differential Equations and Linear Algebra (Fall 2022)
MATH 211: Ordinary Differential Equations and Linear Algebra (Summer 2022)

Other Education Roles:
Amherst College Quantitative Fellow (2018-2019)

Past Teaching (as a Teaching Assistant):
MATH 463/563: Graduate Algebra I (Fall 2025)
MATH 464/564: Graduate Algebra II (Spring 2025)
MATH 356: Abstract Algebra I (Fall 2024)
MATH 354: Honors Linear Algebra (Fall 2023)
MATH 464/564: Graduate Algebra II (Spring 2023)
VARIOUS: Single Variable Calculus I, II; Multivariable Calculus, Differential Equations (Spring 2022)
MATH 463/563: Graduate Algebra I (Fall 2021)
VARIOUS: Single Variable Calculus I, II; Multivariable Calculus, Differential Equations (Spring 2021)
VARIOUS: Single Variable Calculus I, II; Multivariable Calculus, Differential Equations (Fall 2020)

Sample Teaching Materials:
Sample Syllabus

Sample Assignment for ODE+Linear Algebra course