Machine Learning Undercounts Reproductive Organs on Herbarium Specimens but Accurately Derives Their Quantitative Phenological Status: A Case Study of Streptanthus tortuosus." plants 10 (2021)."
Machine Learning Using Digitized Herbarium Specimens to Advance Phenological Research." BioScience (2020)."
Maternal investment and male reproductive success in angiosperms: parent-offspring conflict or sexual selection?" Biological Journal of the Linnean Society 30 (1987): 115-133."
Mating system and historical climate conditions affect population mean seed mass: Evidence for adaptation and a new component of the selfing syndrome in Clarkia." Journal of Ecology DOI: 10.1111/1365-2745.13338 (2019)."