Rojae Mighty

About

I am a physics student at Stony Brook University interested in nuclear physics, the Electron-Ion Collider, computational physics, and quantitative research.

Academic Focus

My academic work centers on high-energy nuclear physics, QCD, parton structure, gluon saturation, and the physics goals of the Electron-Ion Collider.

Computational Skills

I use C++, ROOT, Python, Unix/Linux, numerical simulations, Monte Carlo event generators, and data analysis workflows for physics research.

Career Goals

I plan to pursue a PhD in nuclear physics and contribute to research at the intersection of theory, computation, and experimental data.

Research

My research explores how nuclear structure and QCD dynamics can be studied through simulations, scaling behavior, and collision observables.

Geometric Scaling at the EIC

Studying exclusive vector meson production in electron-nucleus collisions to investigate saturation signatures and scaling behavior.

EIC QCD Saturation

Centrality Studies

Using neutron energy in the Zero Degree Calorimeter to classify collision geometry and connect observables to impact parameter and nuclear thickness.

ZDC ROOT Monte Carlo

EPS09s and Nuclear PDFs

Implementing and validating spatially dependent nuclear PDFs to study how parton distributions change inside nuclei.

nPDF EPS09s PYTHIA

Quantitative Research & Computing

Alongside physics research, I am interested in quantitative research internships where mathematical modeling, programming, statistics, and data analysis are central.

Relevant Strengths

My physics background gives me experience with mathematical modeling, probability, numerical methods, uncertainty analysis, and interpreting complex data.

Programming & Analysis

I have experience writing C++ and ROOT analysis code, processing large simulation outputs, debugging scientific software, and producing quantitative plots.

Quant Internship Interests

I am interested in quant research, quant development, algorithmic modeling, data science, and roles that connect computation with rigorous problem solving.