University of Arizona
Computational researcher interested in using statistics, machine learning, and scientific computing to study complex biological and biomedical systems.
- 🎓 Senior at the University of Arizona studying Statistics & Data Science, with minors in Computer Science and Microbiology.
- 🔬 Computational researcher developing stochastic models of 3D root architecture and analyzing large-scale simulations.
- 🧬 Interested in statistical machine learning, survival analysis, biomedical data, scientific computing, and computational biology.
- 💻 I enjoy building projects that combine mathematics, statistics, programming, and biology.
Computational Plant Science Laboratory · University of Arizona
Developing a stochastic framework for generating and analyzing three-dimensional root architectures using local coordinate systems, quaternion-based transformations, branching, self-avoidance, and large-scale Monte Carlo simulation.
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4.9M+ Monte Carlo Simulations |
24,503 Parameter Configurations |
130+ Statistics per Simulation |
Tools: Python · NumPy · Scientific Computing · Monte Carlo · HPC · Git
3D Root Architecture Simulator →
Interactive Root Visualizer →
Interactive application for exploring and comparing simulated three-dimensional root architectures and their quantitative characteristics.
Built to turn simulation outputs into a more intuitive environment for inspecting root geometry, parameter configurations, and statistical measurements.
Tools: Python · Streamlit · Data Visualization · Scientific Computing
Analysis of clinical and survival data from The Cancer Genome Atlas (TCGA) for patients with glioblastoma.
Cleaned and structured patient-level clinical data to examine survival outcomes, censoring, demographic characteristics, and variables relevant to biomedical prognosis.
Tools: Python · pandas · Survival Analysis · Biomedical Data · Data Cleaning
