About Me
I am a PhD student at Cornell developing AI and optimization methods with sustainability applications. Previously, I worked with Dr. Claire Kremen to scale an analysis of functional connectivity to the global level and with Dr. Geoffrey Schiebinger to develop optimization methods for single-cell genomics.
Projects
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.
Selected Publications
DNA-GPS: A Theoretical Framework for Optics-Free Spatial Genomics
Cell Systems, 2023.
Functional Connectivity of the World’s Protected Areas
Science, 2022.
Optimal transport analysis reveals trajectories in steady-state systems
PLOS Computational Biology, 2021.