14 September 2022 – Postdoc opportunity to work on a pollinator computer vision project. More details here.
7 April 2021 – Our paper on computer vision and bumble bee identification is out!
5 December 2020 – New paper out on the importance of temporal resource continuity for predator-prey metapopulations. Work with Claudio Gratton and Ben Iuliano.
2 October 2020 – Brian talks to Andony Melathopoulos about BeeMachine on the PolliNation podcast.
23 October 2020 – BeeMachine in the news! KSNT stopped by the lab for a story on our deep learning app for identifying bumble bees.
1 August 2020 – Welcome to Caleb Sowers who is joining the lab to work on deep learning applications in pollinator ecology.
10 June 2020 – BeeMachine is online!
2 February 2020 – I’m accepting applications for a MS student to work on machine learning and pollinator ecology. More details here.
15 December 2019 – Our USDA NIFA Pollinator Health proposal was funded! We’ll be using machine learning to automate bee identification from images and video. I’m really excited about this collaborative effort.
17 November 2019 – Off to STL for EntSoc to talk about using machine learning to automate bee identification from images
17 July 2019 – Headed to UC Davis for the 2019 International Conference on Pollinator Biology Health and Policy
1 March 2019 – Our grassland bee paper is highlighted on the cover of EcoApps!
5 Sept 2018 – New paper in Ecological Applications! Bee response to grassland harvesting depends on nesting guild. This was the product of a great collaboration between the Gratton lab at UW-Madison and the Issacs lab MSU.
1 Sept 2018 – I’m excited to be joining the Entomology Department at Kansas State University as a Research Assistant Professor. Hello Manhattan!
23 July 2018 – Our USDA CIG proposal was accepted. In collaboration with Ebony Murrell at the Land Institute and Tania Kim at K-State, we will look at how border crops affect pollinators and predators .
11 Jan 2018 – USDA NIFA/AFRI proposal funded! I will be collaborating with Claudio Gratton and Tania Kim to examine how spatiotemporal variability in prey affects predator dynamics in Wisconsin landscapes.