My research focuses on developing next-generation sub-surface imaging technologies for rare Earth mineral exploration via muon tomography techniques. My work spans both computational and experimental particle physics and geophysics, combining simulation, statistical analysis, and hands-on hardware and software development. I was promoted to manage the day-to-day design and fabrication of one of our cosmic air shower scintillator detector models. I also contributed heavily to the design, construction, and calibration of our hodoscope detector, and will deploy this detector alongside my team in a mine in Cayeli, Turkey in early 2026.

I assembled, tested, deployed, and debugged all components of a cosmic air shower detector, including hardware, software, and electronics. I implemented and maintained embedded firmware for IoT-enabled detector data-aquisition (DAQ) networks, including GPS-based timing and over-the-air remote updates to microprocessor firmware. I was also responsible for maintaining the inventory for the lab.

Technologies: C++, Python, MicroPython, GEANT4, Embedded Systems, Signal Processing, Statistical Analysis, IoT Network Design, Circuit Board Assembly & Debug, AutoCAD, 3D Printing

My research focused on simulating the passage of highly energetic particles through matter for the purpose of designing particle detectors for muon tomography, a method of geophysical imaging. I implemented and analyzed Monte Carlo simulations with GEANT4, a C++ based package developed by CERN. These simulations were used to analyze the spatial and temporal distributions, and the energy spectrum, of the detector's response signal. I was also responsible for analytically calculating the theoretical expectation of these quantities as a means of validating the simulation.

Technologies: C++, Python, GEANT4, ROOT, Statistical Analysis, Scientific Communication

CTRL+V's mission is to produce professional level promotional videos for local businesses near UIUC. Consisting of roughly 40 students per semester, CTRL+V is the largest video-production agency at UIUC. CTRL+V takes on roughly 5 clients each semester. As the Executive Account Director, I organized and ran weekly agency meetings alongside the President and Executive Creative Director, guiding our member's through all phases of the production process.

Website: https://www.aafillinois.com/ctrlv

As a data engineer intern, I led the statistical analysis of financial and geospatial data to estimate the financial loss distributions associated with catastrophe (CAT) models. I also migrated legacy SQL databases to a modern data architecture, improving data querying and retrieval times.

Technologies: R, Python, SQL, DataBricks Notebooks