- Location
- HS507, DLSPH | Zoom
- Series/Type
- DLSPH Event, Faculty/Staff Event, Student Event
- Format
- Hybrid
- Dates
- March 6, 2025 from 12:30pm to 2:00pm
Links
The Geoinformatics of Spatial and Environmental Health (Ge-iSEE) Lab is excited to host a graduate student talk series aimed to fostering interdisciplinary collaboration and knowledge exchange across public health, data analytics, machine learning, and remote sensing technologies.
Our graduate students, Ashlee Kim, Nicholas Grubic, and Joey Zang, will present their cutting-edge research, which spans large-scale population databases, novel epidemiological designs, and the application of advanced geospatial models in environmental health.
Their talks will cover the following topics:
- “Comparing ICES, CCHS, and UK BioBank Databases: Implications for Environmental Epidemiological Research” — Ashlee Kim (MPH Student, Class of 2025)
- “Ambient temperature and COVID-19 emergency department visits in Ontario, Canada: A population-based case-crossover study with distributed lag nonlinear models” — Nicholas Grubic (PhD Candidate in Epidemiology, Vanier Scholar of 2024)
- “Mapping daily surface ozone over Ontario during 2004-2023 using a two-step machine learning model” — Joey Zang (PhD Candidate in Geography, 2022 Connaught International Scholar)
In addition to these presentations, presenters, team members, and other attendees will have the opportunity to share their insights, ask questions, and discuss innovative ideas related to environmental health research.
This series aims to highlight the latest advancements in environmental exposure assessments and health risk estimation methodologies, with the goal of advancing population health research through the integration of epidemiological and geospatial data, along with emerging technologies.
We look forward to engaging discussions and valuable contributions that will enrich the collective understanding of environmental health challenges and solutions.
