Teaching & Mentoring

Empowering the next generation of spatial scientists and public health researchers

Teaching Philosophy

My teaching philosophy centers on integrating theory, hands-on spatial analytics, and real-world applications. I design my courses to empower students with analytical thinking, spatial problem-solving skills, and GIS proficiency, all within the context of public health, landscape ecology, and data science.

Theory Integration

Seamlessly blend theoretical foundations with practical applications

Spatial Analytics

Hands-on experience with cutting-edge spatial analysis tools

Real-World Applications

Connect classroom learning to professional practice

Experiential Learning

Research-based projects and open data exploration

I emphasize experiential learning through research-based projects, open data exploration, and GIS modeling, preparing students for both academic research and applied roles in government, NGOs, and the private sector.

Courses Taught

Comprehensive curriculum designed to bridge theoretical knowledge with practical spatial analysis skills

GEOG 5131/6031
GIS and Public Health

Spring

Undergraduate & Graduate

ArcGIS Pro
Open Health Datasets

This course explores the intersection of geography, spatial science, and health systems. Students gain a deep understanding of health disparities, disease distribution, and environmental determinants of health, using GIS technologies to map, analyze, and communicate complex spatial health data.

Key Topics

Disease ecology & demographic transitions
Spatial epidemiology & risk mapping
Environmental exposures & health behavior
GIS-based health policy planning

Capstone Project

Students design and execute a self-directed spatial health study, using real data and ESRI tools to uncover patterns and generate insights.

"We don't just map disease—we decode the spatial logic of health itself."

GEOG 5015C/6015C / EVST 5015C
Landscape Ecology and GIS

Fall

Undergraduate & Graduate

ArcGIS Pro
Remote Sensing Tools

This interdisciplinary course addresses how landscape patterns shape ecological processes, biodiversity, and ecosystem dynamics. Students learn key principles of landscape ecology, combined with spatial data analytics and conservation strategies.

Key Topics

Spatial statistics & ecological modeling
Human-environment interaction
Landscape metrics & biodiversity
Remote sensing for habitat and disturbance analysis

Signature Assignments

Interpolating oxygen levels in Chesapeake Bay
Modeling road impacts on deforestation in the Amazon
Timber harvest planning using spatial optimization

Student Outcomes

Students leave with practical GIS skills, an ecological mindset, and the ability to analyze and solve real-world landscape challenges. They are prepared for both academic research and applied roles in government, NGOs, and the private sector.

Academic Research
Government Positions
NGO Leadership
Private Sector
Ask about me