CV
Education
UC Santa Barbara: Ph.D. in Mathematics, 09/22 - Present
- 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
Santa Clara University: B.S. in Mathematics, B.S. in Computer Science, 09/18 - 06/22
- 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
Research
Research in PDEs, 06/23 - Present
- Simulate a novel particle method first introduced in [CJT] to sample certain non-log-concave probability measures
- Utilize Python Optimal Transport library to assess accuracy of our methods
Research in Abstract Algebra, 06/21 - 6/22
- 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 implement 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
Programming Experience
Intel: Technical Intern, 11/19 - 03/20
- 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
Technical Skills
- Math: SageMATH, Latex, Mathematica
- Programming: Java, C++, Python, Scala, Plotly, Pandas, Numpy
Additional Honors and Awards
- 1st Place Winner of 2019 Google Tech Challenge at Santa Clara University
- National Merit Finalist
References
[CJT] Craig, Katy, Matt Jacobs, and Olga Turanova. Nonlocal Approximation of Slow and Fast Diffusion. Journal of Differential Equations, Volume 42 (2025).