My teaching and mentoring philosophy is grounded in creating an inclusive, supportive environment where people feel confident developing new skills. Whether in a classroom, in the field, or collaborating with partners, I focus on demystifying complex concepts and connecting theory to real conservation challenges. I use active learning and hands-on problem solving to make ecological modeling, quantitative analysis, and conservation decision-making accessible and relevant.
I work with students and collaborators from diverse backgrounds: supporting university courses, bilingual statistics workshops, and applied projects with Indigenous partners and agencies. My goal is to meet learners where they are, provide clear tools and guidance, and build capacity in both technical skills (R, modeling, data workflows) and collaborative skills (field logistics, partnership building, community-based research). Ultimately, I aim to empower others to confidently engage in conservation science and make informed, ethical decisions.
See CV section for teaching and mentoring details.