Selected Projects:

Research Project: “Rydberg Atoms: From the Ground Up”(2026):
This project is a summary of my work with Rydberg atoms, beginning with the associated atomic physics and exploring applications including quantum sensing and neutral atom quantum computing as pursued by Dimitrova Lab. It is intended to be an accessible approach to key concepts for beginning researchers in these fields. Document and code to be hosted here when available.

American Tech Fellowship Capstone: “Optimal Meeting Locations Using Fuzzy String Matching” (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.

Research Project in Quantum Computing: “Theory and Implementation of Superconducting Qubits”(2023):
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 circuits (specifically transmons), seeking to improve qubit lifetimes and coupling through improved design. I wrote a paper based on this work with related code on Github: Theory and Implementation of Superconducting Qubits.

Research Project in Quantum Sensing: “Doppler Sensitivity and Optimization of Rydberg Atom-based Antennas” (2022):
Undertaken as a graduate summer 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: “Numerical Solution of Boundary Value Problems using Finite-Difference Methods in Python” (2019):
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).

Expository Writing:
Introduction to Bohmian Mechanics (2025).
Brownian Motion Activity , Boston University (2024).
Relativistic Effects in Global-Positioning Systems (2019).

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.

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).
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).