Ingo Ensminger

Education

• Ph.D. University of Jena, Germany (2000)
• Diploma University of Giessen, Germany (1996)

Current Courses

• BIO204: Introduction to Physiology
• BIO312: Plant Physiology
• BIO412: Global Change Biology

Research

Researchers in my lab study plant-environment-interactions. We use different approaches, ranging from experiments in climate controlled growth chambers, greenhouses, experimental plots in the field or natural field sites. We use biophysical methods to assess performance of plants, and molecular biology and next generation sequencing approaches to study transcriptome dynamics in non-model plant species. We also use remote sensing approaches for high-throughput plant phenotyping and studying vegetation dynamics and estimating biomass. I am always looking for students who are passionate about the physiology of plants and the mechanisms by which plants adjust function to changing environmental conditions.

Current Lab Members

• Emilie Isasa, Postdoctoral Fellow
• Sylvain Colomer, Postdoctoral Fellow
• Vincent Reidel, Postdoctoral Fellow
• Nur Hussain, Postdoctoral Fellow
• Gregory Miller, Research Technician
• Bridget Murphy, PhD Student
• Anchalya Balasubramaniam, PhD Student
• Siyu Wang, PhD Student
• Noelle Perkins, PhD Student
• Olivia Di Biase, MSc Student
• Grace Vera Cheng, MSc Student

Become a Lab Member

To see all available positions with the Ensminger Lab, visit the 'Join the Lab' page on the Ensminger Lab website.

Recent Publications

For a complete list of publications, visit Dr. Ensminger's Google Scholar page.

• Velasco, V., Ferreira, A., Zaman, S., Noordermeer, D., Ensminger, I., Wegrzyn, J.L. (2022). A long-read and short-read transcriptomics approach provides the first high-quality reference transcriptome and genome annotation for Pseudotsuga menziesii (Douglas-fir) G3 Genes|Genomes|Genetics, jkac304. https://doi.org/10.1093/g3journal/jkac304
• Wong, C., Mercado, L., Arain, M.A., Ensminger, I. (2022). Remotely sensed carotenoid dynamics improve modelling photosynthetic phenology in conifer and deciduous forests. Agricultural and Forest Meterology, 321. https://doi.org/10.1016/j.agrformet.2022.108977
• Harikumar, A.; D’Odorico, P.; Ensminger, I. (2022) Combining Spectral, Spatial-Contextual, and Structural Information in Multispectral UAV Data for Spruce Crown Delineation. Remote Sens. doi.org/10.3390/rs14092044