The Wetland Trust, Inc. (TWT) is leading initiatives in compensatory wetland mitigation and the restoration of threatened species such as Blanding’s turtles, hellbender salamanders, and bog turtles. I supported TWT in developing a regional-scale model to assess cumulative habitat and species impacts from the nation’s largest wetland, bat, and grassland mitigation project. This work involves using TWT’s ecological and habitat design data to build predictive models for wildlife, vegetation, and structural habitat. Since much of the conservation activity is concentrated within one watershed but also extends across the Great Lakes basin, I helped in analyzing the availability of regional data to evaluate mitigation outcomes. He will also help TWT and its partners identify GIS systems to track and measure long-term ecological impacts.

As a Teaching Assistant for ESF 300: Introduction to Geospatial Information Technologies, I provide hands-on support to students in mastering geoprocessing, spatial, and non-spatial analysis using ArcGIS Pro. My role includes guiding students through weekly lab exercises, offering one-on-one tutoring during office hours, and evaluating laboratory assignments. Through this experience, I have strengthened my ability to explain complex geospatial concepts in clear, practical ways while fostering student confidence in applying GIS tools to real-world environmental problems.

As a Teaching Assistant for FOR 522: Natural Resources Measurements and Sampling, My role includes coordinating laboratories activities and providing useful practical assistance to the students during the weekly field (forest) data collection exercise and analysis using excel and R. I managed grading student laboratories tasks and tutoring students during office hours.

I applied geoprocessing techniques for the stratification of the regional territory of the Lombardy Region in homogeneous areas for environmental factors and crop types and also developed procedures for mapping the carbon stock content and emissions associated with “business as usual” practices or carbon farming scenarios applicable to the management of land affected by cultivated land, farming systems and wood plantations in the Lombardy region. My task also include photo interpreting high and very high-resolution remote sensing images to evaluate their potential in terms of capacity for monitoring the actual implementation of carbon farming activities agricultural activities that involve a change in the soil cover. During this period, I also assisted the Professor in charge of the master’s degree course on Remote Sensing in Forest Resources Management in providing technical guidance to her master’s degree students working on forest fire vegetation recovery analysis.

Thesis currently on Understanding the drivers of the similarity between the overstory-understory composition in Northeastern USA. Supervised by Prof. Eddie Bevilacqua.

Relevant Coursework: Remote Sensing in Forest Resource Management, Monitoring Terrestrial Ecosystem Carbon (ICOS), Silviculture and Monitoring Soil Quality

Specialized in forest biometrics and spatial analysis of ecological data.