Hello!

A little bit more about me: I grew up in Virginia’s Shenandoah Valley, where clear skies fostered an early love of astronomy. I relocated to Greater Boston after earning my undergraduate degree in physics, and gained industry experience as a mechanical engineer before pursuing graduate studies at Northeastern University. Building on my fascination with quantum mechanics, quantum information and computation became a major focus, and I’ve since had the opportunity to work with major labs in both theory and experiment. Maintaining strong interest in this field, I’ve also pursued interests in materials science and software, recently participating in Palantir’s American Tech Fellowship training on their data platform.

            Since I was a teenager I’ve never stopped being fascinated by what Eugene Wigner termed “the unreasonable effectiveness of mathematics in the natural sciences”. The capacity of theories and models to predict (or be refuted by) reality is at the center of my intellectual and professional pursuits. My undergraduate thesis reflected this, investigating the strengths and shortcomings of numerical methods in solving physically significant differential equations. Scott Aaronson describes computer science as “what mediates between the physical world and the Platonic World [of ideal mathematical forms]” (Quantum Computing Since Democritus, p. 200) and I am strongly motivated by (but not uncritical of) this conception.

            In my engineering work following college, I enjoyed contributing to real manufacturing and improvements to internal processes. Enterprise sales is also the family trade, so it was nice to gain exposure to that aspect as well. Pursuing graduate school in physics, I was an intern with BAE Systems’ FAST Labs and Raytheon BBN Technologies, and particularly enjoyed Dr. Pran Nath’s Quantum Theory course sequence. At BBN Technologies I performed experiments with superconducting circuit qubits, gaining valuable experience in electrical engineering methods and cryogenics. This is a leading quantum computing architecture the pioneering development of which won Clarke, Devoret, and Martinis the Nobel Prize in Physics in 2025.

            I’m also an experienced educator, most recently as faculty at the Dexter Southfield School, having worked as a tutor since I was an undergraduate (even longer if we count helping younger siblings with homework!). I’ve taught high school math and physics through AP Physics/ Calculus/Statistics, designed curriculum, and participated in meetings of the American Association of Physics Teachers. The teacher’s habits of conceptual clarity and responsibility for others I carry into everything else I do.

            In 2024 I spent time in a materials science lab investigating micromagnetics simulations utilizing OOMMF, and continued both independent and collaborative work in quantum information and algorithms, most recently experimental neutral atom quantum computing. In 2026 I’m seeking to contribute and enhance my skills to make major contributions.