Resume
Education
B.S. in General Engineering, B.A. in Applied Mathematics, Swarthmore College, 2027 (expected)
Relevant coursework:
- Linear physical systems (ENGR 012)
- Electrical circuit analysis (ENGR 011)
- Mechanics (ENGR 006)
- Data structures & algorithms (CPSC 035)
- Computer engineering (ENGR 021)
- Ordinary & partial differential equations (MATH 043, MATH 054)
- Electromagnetism, waves, and optics with biomedical applications (PHYS 004L)
Reading groups:
- Numerical methods for differential equations (Spring 2024)
- Kinetic modeling and computational fluid dynamics (Fall 2024)
- Directed reading group on tensors (Spring 2025)
GPA: 3.95/4.00
Work & research experience
- January 2024—present: Applied Mathematics Research Assistant
- Utilizing principles of computational fluid dynamics and numerical methods to research high-order accurate methods for time-dependent partial differential equations (PDEs), plasma/kinetic models.
- Using MATLAB to implement PDE-solvers
- Presenting research results at Swarthmore Sigma Xi poster session.
- Developing a novel low-rank, structure-preserving, highly accurate integrator for the Vlasov-Fokker-Planck equation in cylindrical coordinates; documenting research results in LaTeX journal
- December 2023—May 2024: Electrical Engineering Research Assistant (project link)
- Researched electrical and aerospace science behind oscillatory wind-energy devices to develop a novel, small-scale wind-energy harvester.
- Used MATLAB and Arduino to record and analyze voltage data from electromagnetic induction.
- Simulations done using Arduino, MATLAB and ViscousFlow.
- June 2022—August 2022: Software Engineering Intern, Oregon Health and Science University
- Developed mobile Android app in Kotlin
- Attended and presented weekly project updates and machine learning meetings; presented machine-learning paper to reading group.
- January 2021—June 2021
- Used statistical models in Python to predict the time and date of female patient parturition.
- Attended weekly machine-learning presentations
- Analyzed large biomedical datasets in Python
Skills
- Programming Languages: Python, MATLAB, Java, C++, C#, Kotlin
- Software: VSCode, MATLAB, Git, SolidWorks, AutoCAD, MS Office
- Foreign Languages: Spanish (Fluent), Global Seal of Biliteracy (2022)