Experience

Primary Consultant, Oregon State University, Corvallis, OR, Jan 2025 – Mar 2025

Primary Consultant, Oregon State University, Corvallis, OR, Jan 2024 – Mar 2024

Consulted on a MS project involving spatial, time series, and mixed-effects models for distribution of two salmon parasites around four hydroelectric dams on the Klamath river in OR-CA
Secondary-consulted for Michael Boss on a PhD project involving regression and mixed-effects models for pedestrian behavior interacting with autonomous vehicles in a virtual reality setting

Primary Consultant, Oregon State University, Corvallis, OR, Sep 2022 – Dec 2022

Consulted on a Public Health PhD project involving chi-square test, etc. for SRH (sexual and reproductive health) curriculum development in central Botswana
Consulted on a Horticulture PhD project involving GLMs (e.g. logistic and Poisson regression), etc. for TJ (Trissolcus japonicus) establishment in Oregon

Primary Consultant, Oregon State University, Corvallis, OR, Sep 2021 – Oct 2021

Co-consulted with Shannon Leiss on a Fisheries & Wildlife MS project involving t-test, one-, multi-way ANOVA analyses and multiple testing techniques for Pacific oyster larval performance across different rearing systems

Primary Consultant, Oregon State University, Portland, OR, Jan 2021 – Mar 2021

Consulted on a Fisheries & Wildlife MS project involving hierarchical modeling of bat species occurrence in OR
Co-consulted with Andrew Rumments on a Kinesiology PhD project involving meta-survey analysis of APA and APE program quality in US universities

Secondary Consultant, Oregon State University, Corvallis, OR, Jan 2020 – Mar 2020

Graduate

ST 599 Machine Learning III (High-Dimensional, Non-Linear, Tree-Based Methods, Model Selection Techniques; Spring 2025)
ST 599 Missing Data and Causal Inference (Winter 2025)
ST 567 Spatial Statistics (Winter 2025)
ST 4/543 Stochastic Processes (Spring 2023)
ST 4/541 Computational Statistics (Fall 2023)
ST 4/522 Intro to Mathematical Statistics II (Point Estimation, Hypothesis Testing; Winter 2023)
ST 4/521 Intro to Mathematical Statistics I (Probability, Random Variables; Fall 2022)
ST 4/513 Methods of Data Analysis III (Dimensionality Reduction Techniques, Generalized Linear Models, Design of Experiments; Spring 2023, Spring 2024, Spring 2025)
ST 4/512 Methods of Data Analysis II (Regression Analysis, Model Selection; Winter 2022, Spring 2022)
ST 4/511 Methods of Data Analysis I (Hypothesis Testing, Multiple Testing; Fall 2021, Summer 2023, Winter 2024, Fall 2024)

Undergraduate

ST 351/D Intro to Statistical Methods (Winter 2021, Fall 2021, Summer 2022)
ST 314/D Intro to Statistics for Engineers (Spring 2020, Spring 2021, Summer 2021)
ST 243Z Elementrary Statistics I (Summer 2023)