Teaching
Courses, guest lectures, workshops, and professional training
Teaching
My teaching focuses on Earth science, physical geology, remote sensing, GIS, and geospatial analysis, with an emphasis on connecting fundamental concepts to real environmental problems.
I have taught undergraduate laboratory courses in in-person, online, and remote formats, and I regularly contribute invited lectures and workshops on remote sensing, Synthetic Aperture Radar, GIS, machine learning, and environmental applications of Earth observation.
My teaching approach emphasizes active learning, hands-on analysis, critical thinking, and the integration of current research into the classroom.
Courses Taught
2022
Taught an undergraduate Earth science course online, connecting foundational Earth-system concepts with data interpretation and applied activities.
2021
Undergraduate instruction covering fundamental Earth science concepts through data interpretation and applied activities.
2020
Delivered undergraduate Earth science instruction in a fully online format.
Remote instruction in physical geology, including Earth materials, geologic processes, landforms, and interpretation of geologic information.
Taught undergraduate Earth science sections during the transition to online instruction.
2019
Delivered face-to-face laboratory instruction introducing students to fundamental concepts and methods in Earth science.
Guest Lectures & Invited Instruction
2026
Guest lecture introducing the raster data model and its applications in GIS and geospatial analysis.
2024
Guest lecture on machine learning and deep learning approaches for analyzing multiple types of remote-sensing observations.
2023
Invited lecture introducing radar remote sensing principles and applications to water-resource monitoring.
Guest lecture on multi-sensor remote sensing and machine/deep learning for vegetation structure mapping.
2022
Guest lecturer in the Spatial Modeling and Analysis course.
Guest lecturer in the Remote Sensing of the Environment course.
Seminar for undergraduate students in Biological Life at a Research University, introducing academic career paths and the university research environment.
Workshops & Instructional Training
Workshop on using the SentinelHub API to search, obtain, visualize, download, and analyze Sentinel-2 optical remote sensing data with a Jupyter Notebook workflow.
Introduced fundamental principles of Synthetic Aperture Radar and practical remote-sensing workflows using Google Earth Engine.
Professional Training & Teaching Development
Professional development in evidence-based college teaching.
Training in UAV-based data collection and UAV LiDAR processing.
Completed the Stanford University Machine Learning course with a final grade of 94.85%.
Certificate of competency in the fundamentals of deep learning.
Completed short-course training in GNSS Interferometric Reflectometry.
Training in InSAR processing and time-series analysis using the InSAR Scientific Computing Environment.