Skills:

Programming & Software: Python (Scientific libraries, Qiskit, Ocean SDKs), Git, MATLAB, C++, OOMMF, LaTeX, LabVIEW, ArcGIS, MS Office Suite.

Hardware & Experimental: Microcontrollers (Arduino), RF/ electronics instrumentation, oscilloscope, Vernier products.

Domain Expertise: Quantum Mechanics/Information/Computation, Electromagnetism, Computational Physics, Data Modeling, Technical Writing, STEM education, Curriculum Design.

Selected Projects (Github code available where noted):

American Tech Fellowship Capstone (2025):
I was selected for training in Palantir’s proprietary Foundry data platform as part of the first American Tech Fellowship cohort. For my capstone project I built a data pipeline to extract natural-language survey responses from a questionnaire about vacation preferences and find geolocated optimal locations for respondents to vacation together. Final presentation available on request.

Graduate Research Project in Quantum Computing (2023, Ongoing):
Undertaken as a graduate intern with Raytheon BBN Technologies, under supervision of Raytheon scientist Leonardo Ranzani and Archana Kamal, now at Northwestern University. This was experimental research in superconducting circuit qubits, seeking to improve qubit lifetimes and coupling through improved design. I ran qubit coherence experiments and collected data via a Python experimental interface, while getting up to speed via existing literature. I also gained experience with RF Instrumentation, including vector network analyzers. I have written a technical document and a Python model that are ongoing: Theory and Implementation of Superconducting Qubit Devices.

Graduate Research Project in Quantum Sensing (2022):
Undertaken as a graduate intern with BAE Systems. Modeling studies of novel quantum sensors utilizing Rydberg atoms. Utilized Lindblad master equations for open quantum systems and contributed to proprietary code. Work chiefly supervised by Peter B. Weichman, who published this paper:
Doppler sensitivity and optimization of Rydberg atom-based antennas.

Undergraduate Senior Thesis (2017):
Numerical solution of PDEs in physics using finite-difference algorithms. Derived the algorithms and commented on their efficacy, code available in the paper and on Github. Supervised by Raúl Briceño, now at UC Berkeley.
Numerical Solution of Boundary Value Problems Using Finite-Difference Methods (FDM).

Reference Texts:
Quantum Mechanics:
Quantum Computation and Quantum Information, Nielsen & Chuang (2010). (Complete).
Introduction to Quantum Mechanics, Griffiths (2005). (Complete).
Modern Quantum Mechanics, Sakurai & Napolitano (2021). (Selected Chapters).
Principles of Quantum Electronics, Marcuse (1980). (Selected Chapters).
Introduction to Quantum Control and Dynamics, D’Alessandro (2022). (Ongoing).

Electromagnetism:
Introduction to Electrodynamics, Griffiths (2013). (Complete).
Classical Electrodynamics, Jackson (1999). (Selected Chapters).
Electromagnetic Waves, Inan & Inan (2000). (Selected Chapters).

Classical Mechanics:
Classical Dynamics of Particles and Systems, Thornton & Marion (2008). (Complete).
Classical Mechanics, Goldstein (2008). (Selected Chapters).
Theoretical Mechanics of Particles and Continua, Fetter & Walecka (2003). (Selected Chapters).

Mathematical Methods:
Mathematical Methods in the Physical Sciences, Boas (1983). (Selected Chapters).
Mathematics of Classical and Quantum Mechanics, Byron & Fuller (1970). (Selected Chapters, Ongoing).
Boundary Value Problems of Applied Mathematics, Troutman & Bautista (1994). (Selected Chapters).

Other:
Statistical and Thermal Physics, Reif (1965). (Selected Chapters).
Numerical Methods for Physics, Garcia (2017). (Selected Chapters).
Introduction to Solid-State Physics, Kittel (2018). (Ongoing).

Expository Writing/ Notes:
Introduction to Bohmian Mechanics (2025).
Calculating Transition Probability for a Hydrogen Atom in a Capacitor (2022).
Relativistic Effects in Global-Positioning Systems (2019).