Focus for Sponsor:
ALRW: 1) working on machine learning techniques such as neural-networking for prediction of harmful blue-green algae and dead zones in Lake Erie; and 2) Analysis of water treatment facility database for pattern detection in current and best practices. TIES: create K-12 curriculum that uses biomimicry, helping students to nature while learning about abstract topics in math, physics, programming, and many more.
Studying Lake Erie’s dead zones and creating harmful algal bloom prediction models; a citizen science project on phosphorous and nitrogen measurements around Lake Erie tributaries; and STEM K-12 biomimicry curriculum development
Before joining the Biomimicry Fellowship Program, Banafsheh studied computer science and bioinformatics. Her interests are in big data, deep neural-networking, STEM biomimicry curriculum development, and citizen science. Her projects involve a combination of biomimicry curriculum development as well as deep learning algorithms to track the ecological changes in Lake Erie, with a focus on dead zones and harmful algal blooms in Avon Lake, Ohio.