About Me

I am interested in artificial intelligence and optimization and am particularly passionate about problems with social and environmental impact. I am currently a graduate student in Computer Science at Cornell working with Dr. Carla Gomes on problems in computational sustainability. My projects are often data-intensive, incorporating data visualization and analysis.


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 here.


Functional Connectivity of the World’s Protected Areas
Brennan, A., R. Naidoo, L. Greenstreet, Z. Mehrabi, N. Ramankutty, C. Kremen
Science, 2022.
Efficient and Optimal Fixed-Time Regret with Two Experts
Greenstreet, L., N.J.A. Harvey, V. Sanches Portella
ALT, 2022.
A DNA-based global positioning system — a theoretical framework for large-scale spatial genomics
Greenstreet, L., A. Afanassiev, Y. Kijima, M. Heitz, S. Ishiguro, S. King, et al.
Preprint, 2022.
Optimal transport analysis reveals trajectories in steady-state systems
Zhang, S., A. Afanassiev, L. Greenstreet, T. Matsumoto, G. Schiebinger
PLOS Computational Biology, 2021.
A single cell Arabidopsis root atlas reveals developmental trajectories in wild type and cell identity mutants
Shahan R., C. Hsu, T.M. Nolan, B.J. Cole, I.W. Taylor, L. Greenstreet, et al.
Developmental Cell, 2021.
Developmental Single-cell transcriptomics in the Lytechinus variegatus Sea Urchin Embryo
Massri, A.J., L. Greenstreet, A. Afanassiev, A. Berrio Escobar, G.M. Wray, G. Schiebinger, D.R. McClay
Development, 2021.