I’m a Physics & Applied Mathematics Honors student at Tennessee Tech who moves likes to build cool things on the side of my abundance of extracurricular initiatives, namely Trash Force, a student organization I founded to tackle litter, and being an RA for 4 years.
I'm trying to make a pivot in my career towards something a bit more industry-focused. I'm particularly interested in data analysis, where my physics background provides me a unique perspective. I'm looking for full-time opportunities starting Summer 2026.
If you want to self‑study, the best books are the ones that keep you moving. I’ll share the ones that helped me build intuition fast and where I think each one shines (concepts, problems, or both).
I’ll also include a short “how to use this book” note for each recommendation so you can get the most out of it without getting stuck.
Here’s my honest view on the bridge from theory to industry: what skills mattered most, what I wish I had emphasized sooner, and how I framed my experience to make it legible to non‑physics roles.
I’ll also share a short checklist of projects and habits that helped me feel confident applying outside academia.
Trash Force started as a small idea: make cleanup visible and contagious. I’ll walk through how we organized volunteers, built momentum, and kept it sustainable across semesters.
If you’re starting a campus initiative, I’ll share the 3 things that made the biggest difference for us.
Being an RA is intense and rewarding. I’ll share what the day‑to‑day actually looks like, the skills I picked up, and the parts I didn’t expect.
If you’re considering the role, this is the candid version I wish I had before applying.
Physics trains your brain in a unique way, but it’s not always a straight path. I’ll cover what felt valuable, what felt inefficient, and how I would do it again if I were starting over.
I’ll also share how I think about ROI beyond salary — skills, network, and long‑term optionality.
Passd is a project about access and dignity. This post will outline the problem, the early prototypes, and what we learned from real users.
I’ll also share the technical stack and the community partnerships that helped it move from idea to pilot.
We built a balloon payload to explore particle detection at altitude. This post will cover the design constraints, instrumentation choices, and the data we managed to pull down.
I’ll also share lessons learned on thermal, power, and data logging at low pressure.
The REU was fast‑paced and transformative. I’ll summarize the project, what it taught me, and how it changed the way I approach research.
If you’re applying to REUs, I’ll share a few practical tips that helped me stand out.
Simulating financial markets using Geometric Brownian Motion (GBM), Monte Carlo methods, and risk metrics like Value at Risk (VaR)
Markowitz optimization and principal component analysis (PCA) to analyze stock returns. Explores correlations of PCA factors with sector ETFs to interpret underlying market drivers. Coming soon!
Description of my life, experience, and things I'm up to: a portable resume