Teaching
I-CIPS is dedicated to cultivating the next generation of computational plant scientists. This involves developing and implementing innovative curricula, workshops, and training programs that equip students with the necessary skills within the context of plant science in areas including:
- Programming
- Data science
- Artificial intelligence and machine learning (AI/ML)
- Robotics
- Mathematical modeling
- Statistical analysis
The initiative strives to create a robust educational pipeline, ensuring that SIPS graduates are highly proficient and competitive in the rapidly evolving field of computational plant science. This will be achieved by providing both entry point courses to develop foundational computational skills as well as more specialized courses to further build computational and ML skills and their application to a wide variety of plant research. Throughout, there will be a strong focus on illustrating computational learning with data and real-world applications.
Plant Science majors at Cornell can take the Computational Biology concentration or you can Make Your Own Concentration in topics such as Data Science/Statistics along with a Plant Science topic.
Courses
- Courses taught by faculty in the School of Integrative Plant Science
- Courses taught by faculty in the College of Agriculture and Life Sciences
- Courses in the NRT Digital Plant Sciences curriculum
- A huge list of AI courses at Cornell
- Computer Science and Engineering courses
- Digital Ag Sciences Minor
- Other training opportunities at Cornell BioHPC and Boyce Thompson Institute (coming soon)
Workshops
- New Advances in Land Carbon Cycle Modeling (contact: Yiqi Luo, Crop and Soil Sciences)
- BioHPC workshops (contact: Qi Sun, BioHPC)