Teaching philosophy
I connect course content to real-world applications, use project-based labs and discussion to make learning active, and develop visual and interactive materials that support students from diverse backgrounds.
My goal is not only to teach tools, but to help students become independent thinkers who can select methods thoughtfully, interpret evidence responsibly, and clearly communicate the findings and limitations of their analyses. I approach artificial intelligence as a learning aid, never a substitute for reasoning.
Teaching experience
University of Connecticut · Fall 2023
Remote Sensing of Environment (NRE 3535)
Teaching Assistant / Lab Instructor
- Led weekly labs on satellite-data acquisition, visualization, and analysis using ENVI.
- Delivered guest lectures on multispectral remote sensing and satellite geometry.
- Graded assignments and provided constructive feedback.
- Organized group discussions and student presentations.
Research mentorship
I have mentored undergraduate and graduate students on satellite time-series analysis, machine learning, and forest-disturbance monitoring.