Andrea Reid
Interactive resume

About Me
I am a geospatial researcher with an interest in 3D city modeling and flood impact assessment. Specifically, I use imagery and point cloud data to create accurate and scalable solutions for acquiring flood impact parameter data, taking advantage of the major advancements available for AI-based technologies.
I received my MSc in Environmental Sciences at ETH Zurich in Switzerland and completed the GIS Applications Specialist program at Fleming College where I helped create a rooftop solar potential web application for the City of Peterborough in Ontario. I am currently enrolled as a graduate student in the Department of Geodesy and Geomatics at the University of New Brunswick.
I have experience working with a variety of 2D and 3D data types in both GUI and scripting (python) environments. My current work involves the use of deep learning models for image segmentation and classification tasks. I have a good understanding of photogrammetric processes and other reality capture techniques (e.g., mobile laser scanning) and am very keen to apply this knowledge to help build scalable solutions for disaster management.

Research Pitch
Check out this 3 minute pitch on how 3D city modeling and AI can be used to scale up flood risk assessments using multi-source and multi-angle geospatial data. For a better viewing experience, click here to open the YouTube video in another window.
Projects
Urban Flood Risk and Digital Twins
The main focus of my graduate studies at UNB is on the creation of 3D city models for improving flood risk assessment in cities. This work involves a novel approach to using multi-source geospatial data for creating 3D building representations. A major challenge to understanding flood risk of buildings is the development of a comprehensive database that includes flood relevant features, such as first floor elevation. To obtain this information at scale, we can extract it automatically from a variety of geospatial data sources (e.g., airborne LiDAR, orthoimagery, and street-level mobile mapping data) using Artificial Intelligence (AI). Check out my poster for a more detailed overview of the project, or click here to view the poster to its full extent.
Big Data Pipeline
For our final project in the course "Big Data Pipeline", my team and I used AI to predict economic trends during the pandemic from a large time-series dataset. The project deviates from my main interest in geospatial data, but it demonstrates my competency in data science workflows and applying appropriate machine learning algorithms to solve big data problems. Click here to read the final report and see how we were able to use deep learning to predict economic activity from COVID-19 case counts.
GIS Program StoryMap
For an overview of the projects I completed for my one-year GIS specialist program at Fleming College, check out the StoryMap here.
Education
Graduate Program, Geodesy and Geomatics Engineering, University of New Brunswick
Jan 2022 - current | Current GPA: 4.3 (on scale of 0.0 - 4.3)
Thesis: 3D city modeling and flood risk analysis from street-view imagery and mobile point cloud data.
GIS Specialist Certificate, Fleming College
Sep 2020 - Jun 2021 | Program GPA: 3.8 (on scale of 0.0 - 4.0)
Project topic: solar potential of rooftops in Peterborough using airborne LiDAR point cloud data.
Master of Environmental Sciences, ETH Zurich
Sep 2009 - Apr 2012 | Program GPA: 5.5 (on scale of 1.0 - 6.0)
Major in Ecology and Evolution
Bachelor of Science, University of Guelph
Sep 2002 - 2007
Major in Marine and Freshwater Biology
Work Experience
University of New Brunswick
Fredericton, NB, Canada
Sep 2022 - Apr 2023
Teaching Assistant, Geodesy and Geomatics
Intro to GIS: Develop and lead computer lab tutorials for the undergraduate course 'Introduction to Geographic Information Systems' using Esri software (ArcGIS Pro). Assist students with analytic and technical software functionality and help troubleshoot software-related issues. Grade assignments.
Intro to Big Data: Develop and lead introductory tutorials for python programming. Help students with technical issues related to the big data pipeline: data access, data storage, data exploration/visualization, and machine learning. Grade assignments and video submissions.
ETH Zurich
Zurich, Switzerland
Sep 2012 - Aug 2018
Project Manager, Molecular Lab
Development and implementation of genotyping methodologies for understanding the eco-evolutionary trends of different plant study systems. Highlighted projects include: spread of an invasive plant species in the Swiss Alps, species competition and evolution in experimental duckweed communities, and spread of an invasive species to islands in Greece.
World Wildlife Fund (WWF)
Bellinzona, Switzerland
Sep 2011 - Jun 2012
Communications Intern
Produced communications material on the status of the WWF European Alpine Programme's conservation activities in the Alps.
University of Zurich
Gran Canaria, Spain
Zurich, Switzerland
May 2011 - Aug 2011
Scientific Assistant
A short employment opportunity following the completion of my MSc thesis to continue conducting research on the genetic diversity of a rare plant species in the Canary Islands.
University of Guelph
Guelph, Canada
Coastal and Amazonian Ecuador
Apr 2007 - Sep 2008
Herbarium Technician
Conducted vegetation surveys in Northern Ontario for a study on the effects of forest management on biodiversity. Collected leaf material from a tree species in Ecuador to help characterise genetic diversity within and between populations.