Quantitative Ecologist & Data Scientist

Bayesian Modeling of Transmissible Cancer in Soft-Shell Clams

Metzger Lab, Pacific Northwest Research Institute

Master's thesis research developing a marine disease model to understand disease transmission dynamics in clam populations using Bayesian statistical methods and ecological modeling frameworks.

Variation in natural infection outcomes and cancer cell release from soft-shell clams (Mya arenaria) with bivalve transmissible neoplasia (2025)

Identified and described stages of disease through changepoint and regression analyses in the Metzger Lab.

A computational topology-based spatiotemporal analysis technique for honeybee aggregation (2024)

Developed changepoint detection methods for ecological time series data in the Peleg Lab. Contributed to field and laboratory experiments, with findings published in peer-reviewed literature.

Agent-Based Modeling and Random Walks

Adding a random walk component to the standard agent-based models to understand emergent population patterns and introduced obstacles to test behavior.

Machine Learning Workshop Project

Developed predictive models for species distributions using machine learning techniques including random forests and gradient boosting.

Optimization for Sampling Methods

Applied optimization techniques to identify the most effecient sampling route throughout the Puget Sound using linear and nonlinear programming.

Network Analysis of Ecological Systems

Deveoped and analyzing a sea turtle migratory network using graph theory and network metrics to help direct conservation efforts.

Environmental Drivers of Salmon Survival

Statistical modeling project analyzing relationships between environmental variables and salmon survival rates using generalized linear models and time series methods.