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Experience
Education
Bachelor of Science, Physics
Michigan State University
August 2020 - April 2024
Physics PhD Candidate
Michigan State University
July 2024 - Present
Jobs
Graduate Research Assistant
Michigan State University
July 2024 - Present
- Implementing DINOv3 self-supervised pretraining to cut reliance on labeled data
- Optimizing a transformer-based object detector model (RT-DETR) via quantization and pruning, improving inference throughput by over 45%
- Developed neural network-based domain adaptation methods to reduce simulation-to-data distribution shifts in Monte Carlo-generated datasets
- Collaborated across multiple research groups and mentored undergraduate students
Physics Intern @ FermiLab
May 2023 - July 2024
- Built PyTorch particle identification classifiers achieving 92% accuracy
- Implemented a Faster R-CNN model with Detectron2 for particle track detection
- Applied DCGAN-based generative modeling to offset limited labeled training data
Physics Intern @ Los Alamos
September 2021 - August 2022
- Implemented numerical fluid dynamics simulations for the k-l turbulence model in C/C++
- Optimized scientific workloads for performance on HPC systems
- Presented weekly technical progress updates
REU Student @ IRIS-HEP / Davidson College
June 2022 - August 2022
- Built a self-supervised, semi-supervised event classification pipeline for the AT-TPC at FRIB
- Applied a PointNet-based architecture to 3D point-cloud particle trajectory data for scattering event classification
- Presented poster at the 2022 DNP meeting
Physics Intern @ FRIB
August 2020 - April 2024
- Built regression models for sparse-data prediction of unstable nuclear radii
- Reimplemented digital and analog clocking circuits on FPGAs
- Presented results in meetings and conferences
Skills
