CV

Education

GPA: 4.0
Relevant Coursework: Real Analysis I, II & III, Modern Algebra I, II & III, Topology I, II & III, Numerical Analysis I, II & III, Probability Theory and Stochastic Processes I & II, Differential Geometry I, Time Series, Stochastic Calculus I, Optimal Transport, Partial Differential Equations I, II & III, Optimal Transport, Gradient Flows

GPA: 3.933
Member of University Honors Program
Honors and Awards
- Recipient of SCU Presidential Scholarship, awarded to ten undergraduates out of a class of 1,300 students
- Recipient of Darin Butz Scholarship, awarded to a single female student in SCU’s math department each year
- Graduated Summa Cum Laude
Relevant Math Coursework: Probability and Statistics I and II, Intermediate Analysis I & II, Complex Variables, Abstract Algebra I & II, Advanced Calculus, Optimization I & II, Topology
Relevant Programming Coursework: Object Oriented Programming, Data Structures and Algorithms, Theory of Algorithms, Programming Languages, Theory of Automata and Languages, Design Management of Software, Data Privacy and Algorithmic Fairness, Computer Networks, Operating Systems

Simulate a novel particle method first introduced in [CJT] to sample certain non-log-concave probability measures
Implement random batch method first introduced in [JLL], reducing computation time of simulations by over 90% in certain test cases
Develop our own batch method and quantitatively measure performance against the forward Euler method and random batch method using the Python OT library

United concepts in linear algebra, representation theory, and Galois theory to research a finite-time algorithm for solving an important problem in field theory
Presented weekly findings to my supervisors, Dr. Glenn Appleby and Dr. Tamsen McGinley, and implemented their feedback independently
Used SAGEMath – an open-source mathematical software tool – to verify results and Latex to format the findings
Wrote a 20-page research paper

Facilitate the chapter’s weekly seminar series by recruiting and scheduling speakers from across the mathematics department and visiting institutions
Streamline chapter operations by implementing data-driven scheduling tools to optimize meeting times
Direct member engagement initiatives by surveying the chapter to align weekly technical discussions with current research interests, such as optimal transport and numerical analysis

Led weekly Saturday sessions to teach middle school girls Python and Scratch
Took notes at committee meetings to record information not explicitly stated on agenda using Google Docs, Google Calendar, Trello, and Slack
Successfully adapted to remote work after one year of leading and teaching in-person
Restructured student recruitment, resulting in a 129% increase in sign-ups for the program

Queried millions of servers in Intel’s Data Center using Python-based scripts to procure data on server health
Debugged, edited, and improved Flask-RESTful APIs by writing testing software to find flaws and gaps in API output
Utilized Linux distributions, Python virtual environments, and Docker while writing and distributing scripts

Math: SageMATH, Latex, Mathematica, Manim (an animation engine that runs on Python and Numpy)
Programming: Java, C++, Python, Scala, Plotly, Pandas, Numpy

[CJT] Craig, Katy, Matt Jacobs, and Olga Turanova. Nonlocal Approximation of Slow and Fast Diffusion. Journal of Differential Equations, Volume 42 (2025).

[JLL] Jin, Shi, Lei Li, and Jian-Geuo Liu. Random Batch Methods (RBM) for interacting particle systems. Journal of Computational Physics, Volume 400 (2019).