Modelling Connectivity of Global Protected Areas
Large mammals often require more space than a single protected area and having connected protected areas
is key for gene dispersal. It is important to understand which protected areas are isolated or at risk of
isolation. I worked with Dr. Claire Kremen on the first global study of
resistance-based connectivity, which takes into account the many possible paths across a landscape. Our
results identified areas that are critical for connectivity but remain unprotected and we compared
the overlap of these areas with existing conservation prioritization schemes.
Spatial and Temporal Single-cell Transcriptomics
Single-cell RNA-sequencing has allowed researchers to get snapshots of gene expression in individual cells.
However, as the sequencing process is destructive and disassociates cells within a tissue, there is a need
for methods to understand how development occurs in both space in time. I worked with Dr. Geoffrey Schiebinger
on projects applying optimal transport to understand developmental trajectories and helped develop GPS-Seq,
a manifold-learning approach to spatial transcriptomics that allows cellular positions to be reconstructed
without the use of imaging.
Mapping and Identifying Gaps in Electric Vehicle Infrastructure
Through the UBC Data Science Institute's Data Science for Social Good Program, I worked with the City of Surrey
towards reaching 100% electric vehicles in the city by 2050. I helped map existing infrastructure
and developed the database for an app that lets city planners explore electric vehicle infrastructure and
socio-economic data. I also worked on a model for placing EV chargers that used traffic and census data to provide
equal access to residents across the city based on their driving patterns. The full project report is available