Core to my teaching philosophy is creating experiential, inclusive, and creative learning environments. As a science educator with a primary focus on teaching computational and data science methods through a social-environmental lens, I actively work to break down barriers to quantitative learning with culturally responsive pedagogy. I am passionate about creating curricula that build up, and on, students' domain interests and life experiences.
I was one of the organizers of, and mentors for, the climate change AI summer school, which is designed to educate and prepare participants with a background in artificial intelligence (AI) and/or a background in a climate change-related field to tackle major climate problems using AI. The summer school consists of two independent components: an open-to-all virtual program, which in summer 2023 has over 5,000 participants, and a fully funded “by application” week long in-person program for 40 students from around the world!
(Graduate Student Instructor) ESPM 157, is an upper division undergraduate course, covering reproducible data science methods in the context of global change ecology. Beyond assisting with the course, I worked on developing and teaching a new learning module on exploring open source geospatial methods through an environmental justice lens (you can check out the module and corresponding code template if interested!). This active learning module has since been used to teach hundreds of students spatial analysis skills over the past three years and was the basis for a recent NASA TOPS grant.
The Fung Fellowship is an immersive undergraduate learning experience that inspires students to become innovators for social good. I’m a graduate student mentor for multiple undergraduate fellows working on applied problems with partner organizations at the intersection of conservation and technology.
I’m always excited to work with students on developing projects at the intersection of data science and environmental policy. I’ve mentored a number of honors thesis and undergrad research ( URAP) students on projects ranging from fisheries management to climate policy. Check out our latest paper, led by undergraduate Sally Dowd, here!
I’m part of the Environmental Data Science Inclusion Network, and have participated in multiple Culturally Relevant Education in Environmental Data Science workshops. I’m continually working to create more inclusive academic spaces for students.
Outside of the university, I’m an instructor for Bay Area Scientists in Schools program. I teach interactive modules on population dynamics and biodiversity metrics with elementary and middle school students across the East Bay (Oakland, Berkeley, El Cerrito, Richmond)!
- Posted on:
- January 1, 0001
- 3 minute read, 433 words
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