Bio

I am a Ph.D. candidate in Statistics at Colorado State University (defense anticipated Summer 2025), where my research focuses on developing statistical methods for ecological and environmental applications. I have experience working with spatial point processes, record linkage modeling, and statistical computing, with applications ranging from tree demography to social geography. I am passionate about statistical consulting and collaborating on interdisciplinary projects that require advanced data analysis and modeling.

Research Interests

My research is centered on statistical methods for analyzing complex spatial and temporal data, primarily in ecological and environmental settings. I am particularly interested in:

• Bayesian Methods and Non-Linear Regression – Implementing Bayesian hierarchical models and non-linear regression techniques for parameter estimation with robust uncertainty quantification.

• Record Linkage and Data Integration – Developing probabilistic methods for linking spatio-temporal datasets across different resolutions and time points.

• Spatial and Spatio-temporal Point Processes – Developing models for event occurrences in space and time, with applications to location-dependent marked point processes arising in forestry.

I am always looking for opportunities to apply statistical modeling to real-world challenges and collaborate with researchers across disciplines.