About Me

I am a PhD student at Cornell working with Dr. Carla Gomes to develop 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.


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
Greenstreet, L., A. Afanassiev, Y. Kijima, M. Heitz, S. Ishiguro, et al.
Cell Systems, 2023.
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.
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, et al.
Development, 2021.