Teaching
I help learners move between theory, evidence, analysis, intervention and reflection. The aim is to understand both what a method can show and the conditions under which its results become useful.
Define actors, flows, dependencies and decision boundaries before choosing a model.
Connect analytical claims to data, assumptions and theory. Discuss uncertainty openly.
Use cases with real trade-offs and ask learners to defend a decision, design or recommendation.
Examine why an approach worked, how collaboration shaped it and what should change next time.
I co-taught course 42543 with Professor Anja Maier for MSc and upper-level engineering students. In 2017, I served as external lecturer and course responsible, leading planning, teaching-assistant coordination, teaching and examinations.
I supervised and co-supervised MSc and BSc projects. During my postdoctoral appointment, I also provided functional PhD co-supervision, methodological sparring and research support alongside the principal supervisor.
I taught entrepreneurship, innovation, business creation and knowledge management at Pontificia Universidad Católica de Chile, Universidad de Talca and Universidad Austral de Chile.
For UNDP and other public-sector partners, I have designed workshops, learning sessions and handover materials on network analysis, knowledge graphs, AI and responsible interpretation. These activities support professional learning and technology transfer; they are distinct from university credit courses.
Across these settings, I begin with the decision and its evidence, then introduce technical detail as learners need it.