Papers
Publications
Why Scientists Should Lead the Shift Away from AI Mega Data Centres
Cassidy K. Buhler, Fernando Pérez, & Carl Boettiger
Buhler, C. K., Pérez, F., & Boettiger, C. (2026). Why scientists should lead the shift away from AI mega data centres. Nature, 656(8127), 296–298. https://doi.org/10.1038/d41586-026-02451-2
California’s 30x30 Initiative in 2025: A Biodiversity Assessment of the State’s 30x30 Conservation Areas
Carrie Schloss, Jeanette Howard, Rachael Olliff Yang, Nathaniel Roth, Cole Dickison, Alicia Canales, Charlotte K. Stanley, Megan Webb, David Ackerly, Carl Boettiger, Cassie Buhler, Steven Monfort, Gary Bucciarelli, Rachel Meyer, Ariel Levi Simons, Jun Bando, Liz Chamberlin, Sam Veloz, Avery Hill, Rebecca Johnson, Ryan Hill, Amanda Kochanek, Dan Rademacher, Lisa Micheli, Kristeen Penrod, Giovanni Rapacciuolo, Dena Spatz, and Daniel Gluesenkamp
Schloss, C., et al. (2026). California’s 30x30 initiative in 2025: A biodiversity assessment of the state’s 30x30 conservation areas. California Biodiversity Network.
California’s 30 x 30 Initiative at its Midpoint: A Biodiversity Assessment Snapshot of the State’s Conservation Areas
Jeanette Howard, Carrie Schloss, Rachael Olliff Yang, Alicia Canales, Charlotte K. Stanley, Megan Webb, David Ackerly, Carl Boettiger, Cassie Buhler, Steven Monfort, Gary Bucciarelli, Rachel Meyer, Ariel Levi Simons, Jun Bando, Liz Chamberlin, Sam Veloz, Cole Dickison, Avery Hill, Rebecca Johnson, Ryan Hill, Amanda Kochanek, Dan Rademacher, Lisa Micheli, Kristeen Penrod, Giovanni Rapacciuolo, Nathaniel Roth, Dena Spatz, Daniel Gluesenkamp, and collaborators
Howard, J., et al. (2026). “California’s 30 x 30 initiative at its midpoint: A biodiversity assessment snapshot of the state’s conservation areas.” Artemisia, 51(2), California Native Plant Society.
Regularized Step Directions in Nonlinear Conjugate Gradient Methods
Cassidy K. Buhler, Hande Y. Benson, David F. Shanno
Buhler, C.K., Benson, H.Y. & Shanno, D.F. Regularized step directions in nonlinear conjugate gradient methods. Mathematical Programming Computation. 16, 629–664 (2024). https://doi.org/10.1007/s12532-024-00265-9
Decision-Making for Land Conservation: A Derivative-Free Optimization Framework with Nonlinear Inputs
Cassidy K. Buhler and Hande Y. Benson
Buhler, C. K. & Benson, H. Y. (2024). Decision-Making for Land Conservation: A Derivative-Free Optimization Framework with Nonlinear Inputs. Proceedings of the AAAI Conference on Artificial Intelligence, 38(20), 21932-21939. https://doi.org/10.1609/aaai.v38i20.30195
Optimal Land Conservation Decisions for Multiple Species
Cassidy K. Buhler and Hande Y. Benson
Buhler, C. K., & Benson, H. Y. (2023). Optimal Land Conservation Decisions for Multiple Species. Proceedings of the 52nd Northeast Decision Science Institute Annual Conference (Vol. 52, pp. 808-816).
Do Mechanisms Matter? Comparing Cancer Treatment Strategies Across Mathematical Models and Outcome Objectives
Cassidy K. Buhler, Rebecca S. Terry, Kathryn G. Link, Frederick R. Adler
Cassidy K. Buhler, Rebecca S. Terry, Kathryn G. Link, Frederick R. Adler. Do mechanisms matter? Comparing cancer treatment strategies across mathematical models and outcome objectives[J]. Mathematical Biosciences and Engineering, 2021, 18(5): 6305-6327. doi: 10.3934/mbe.2021315
Preprints/Misc
Efficient Solution of Portfolio Optimization Problems via Dimension Reduction and Sparsification
Regularized Nonlinear Conjugate Gradient Methods for Machine Learning
Cassidy K. Buhler and Hande Y. Benson