Founder of Spectral Analytix Inc. Christian Nansen has over 15 years of experience in use of remote and proximal sensing applications. He is Associate Professor at University of California Davis (
BOARD OF DIRECTORS
Dr. Pamela G. Marrone chairs the Board of Directors. Dr. Marrone was CEO and Founder of Marrone Bio Innovations, Inc. (MBI) from 2006-2020. Prior to this position, Dr. Marrone founded AgraQuest in 1995 and served as its CEO, Chairman and/or President until April 2006.
Jan brings more than 25 years of demonstrated success across a variety of industries, including financial services, healthcare, retail, product development, and management consulting. Her leadership experiences range from Fortune 50 executive positions to start-up advisory boards. Jan led the team that developed .
Bob has over 25 years of experience in a broad range of technologies and IT roles with expertise in mergers and acquisitions and technology due diligence, having assessed hundreds of companies for American Express. Bob’s background started in electrical engineering, safety control systems, and real-time software and expanded into application development and operations.
Mohsen Mesgaran is a seed biologist and computational ecologist with established research program based on seed physiology, optical sensing, image processing, and machine learning. He is Assistant Professor at University of California Davis.
Dr. Adam Stern is Senior Scientist & Vice President Sales & Marketing at Resonon Inc, a leading manufacturer of hyperspectral imaging equipment. He earned a PhD in Phyiscs from Montana State University and a BS in Physics and Mathematics from UC Santa Barbara.
Nansen C, Elliot N. 2016. Remote sensing and reflectance profiling in entomology. Annual Review of Entomology 61:139–158. doi: 10.1146/annurev-ento-010715-023834
Nansen C. 2016. The potential and prospects of proximal remote sensing of arthropod pests. Pest Management Science. doi: 10.1002/ps.4209.
Nansen C, Stewart AN, Melgarejo T, Wintermantel WM, McRoberts N, Gilbertson RL. 2019. Proximal remote sensing to differentiate non-viruliferous and viruliferous insect vectors – proof of concept and importance of input data robustness. Plant Pathology. Doi: 10.1111/ppa.12984
Nansen C. 2018. Penetration and scattering – two optical phenomena to consider when applying proximal remote sensing technologies to object classifications. Plos One 13(10): e0204579 (
Voss S C, Magni P, Dadour I, Nansen C. 2017. Reflectance-based determination of age and species of blowfly pupae. International Journal of Legal Medicine. 21: 131(1): 263-274. DOI:
Nansen C, Ribeiro LP, Dadour I, Roberts JD. 2015. Detection of temporal changes in insect body reflectance in response to killing agents. PLOS One 10(4): e0124866. DOI: 10.1371/journal.pone.0124866.
Nansen C, Zhao G, Dakin N, Zhao C, Turner S R. 2015. Using hyperspectral imaging to determine germination of native Australian plant seeds. Journal of Photochemistry and Photobiology B: Biology 145: 19-24. doi: 10.1016/j.jphotobiol.2015.02.015.
Nansen C, Strand MR. 2018. Body reflectance features used as non-destructive indicators of physiological responses by host insect to parasitism. Frontiers in Physiology - Invertebrate Physiology 9: 1716.
Ribeiro LP, Klock ALS, Filho JAW, Tramontin MA, Trapp MA, Mithöfer A, Nansen C. 2018. Hyperspectral imaging to characterize plant-plant communication in response to insect herbivory. Plant Methods. DOI: 10.1186/s13007-018-0322-7.
Li X, Hongxing X, Feng L, Fu X, Zhang Y, Nansen C. 2017. Using proximal remote sensing in non-invasive phenotyping of invertebrates. PLOS One. 12(5): e0176392. doi: 10.1371/journal.pone.0176392.
Nansen C. 2017. Unravelling the “radiometric signals” from green leaves. Chapter 3 (Vieira P, Gagliano M, Ryan J eds.) in: The Language of Plants. University of Minnesota Press.
Matzrafi M, Herrmann I, Nansen C, Kliper T, Zait Y, Ignat T, Siso D, Rubin B, Karnieli A, Eizenberg H. Accepted. Hyperspectral technologies for assessing seed germination and trifloxysulfuron-methyl response in Amaranthus palmeri (Palmer amaranth). Frontiers in Plant Science. DOI: 10.3389/fpls.2017.00474.
Nansen C, Singh K, Mian A, Allison B J, Simmons C W. 2016. Using hyperspectral imaging to characterize consistency of coffee brands and their respective roasting classes. Journal of Food Engineering 190: 34–39.
Wang Y, Nansen C, Zhang Y. 2016. Integrative insect taxonomy based on morphology, mitochondrial DNA and hyperspectral reflectance profiling. Zoological Journal of the Linnean Society. doi: 10.1111/zoj.12367.
Zhang X, Nansen C, Aryamanesh N, Yan G, Boussaid F. 2015. Importance of spatial and spectral data reduction in detection of internal defects in food products. Applied Spectroscopy 69(4): 473-80. DOI: 10.1366/14-07672.
Nansen C, Coelho A Jr, Mendes J V, Parra JRP. 2014. Reflectance-based identification of parasitized host eggs and adult Trichogramma specimens. Journal of Experimental Biology 217: 1187-1192 doi:10.1242/jeb.095661.