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Education
B.S. in General Engineering, B.A. in Applied Mathematics, Swarthmore College, 2027 (expected)
Relevant coursework:
- Electrical circuit applications and analysis (ENGR 072, ENGR 011)
- Digital Signal Processing (ENGR 071)
- Thermo-fluid Mechanics (ENGR 041)
- Real Analysis (MATH 063)
- Electromagnetism, waves, and optics with biomedical applications (PHYS 004L)
- Ordinary & partial differential equations (MATH 043, MATH 054)
- Data structures & algorithms (CPSC 035)
Reading groups:
- Mathematical Competition in Modeling (MCM) Preparation (Swarthmore College - Fall 2025)
- Tensor decompositions (Swarthmore College - Spring 2025)
- Kinetic modeling and computational fluid dynamics (Swarthmore College & University of Delaware - Fall 2024)
- Numerical methods for differential equations (Swarthmore College - Spring 2024)
GPA: 3.98/4.00
Work & research experience
- May 2025-August 2025: Advanced Materials Intern and Research Intern at the Naval Research Laboratory (Washington, DC)
- Developed Arduino-controlled liquid nitrogen (LN2) dispenser comprising two thermocouples and a relay-controlled solenoid valve.
- Used Python to create graphical-user-interface and data-logging system that interfaces between LN2 dispenser and computer through serial communication.
- Facilitated laser flash analysis (LFA) measurements to measure thermal diffusivity and specific heat capacity, which we used with sample density to determine thermoelectrics’ thermal conductivity.
- Cut, coated, and prepared thermoelectric and semiconductor samples for LFA and Seebeck analysis.
- Presented research updates to NRL scientists and engineers, wrote standard operating procedures for the LN2 dispenser and LFA.
- I learned fundamentals of nanomaterial science, especially regarding crystal growth, chemical bonding, and electron physics.
- Introduced me to semiconductor and solid-state physics; relevant topics included n and p-type doping, electron bands, p/n junctions, diodes, transistors, and thermoelectrics.
- 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)