Think Phenome 2017. Modeling Session: Machines and Plants and Flies, Oh My!

Here’s a sneak preview of what will be presented at the upcoming Phenome 2017 conference, to be held on Feb. 10-14 in Tucson, AZ.

Phenome 2017 will provide a unique opportunity for plant biologists, engineers, computer and information scientists, chemists, mathematicians, geologists, physicists, and meteorologists to mingle, forge collaborations, share insights, and develop strategies to tackle real-world problems.

The Modeling concurrent sessions will take place on the afternoon of Monday, February 13, at Phenome 2017 (Tucson, AZ, USA, February 10–14, 2017).

Phenome 2017 flaunts its multidisciplinarity in concurrent sessions on Modeling. The Statistical Analysis of Multivariate Data session features talks from Alina Zare, an Electrical and Computer Engineering professor whose lab at the University of Florida studies machine learning and sensing; Dan Chitwood, whose lab at the Donald Danforth Plant Science Center works toward a comprehensive understanding of plant morphology; and David Houle, an evolutionary geneticist at Florida State University whose lab uses fruit flies as a model organism.

The session on Integrating Multiscale Data into Models of Plant Growth and Development includes speakers from across the globe: Christine Granier and Christophe Godin, both from INRA in France, as well as Cody Markelz from the University of California at Davis and Justin Borevitz from the Australian National University. This session will explore how to make many kinds of data work together and how to maintain quality, quantity, and standardization in phenotyping.

Speakers in the Climate and Crop Models to Predict Plant Productivity Based on Environment session come from both academia and industry. Graeme Hammer from the University of Queensland will report on “the role of dynamic models based on biological understanding as an avenue to link molecular and whole plant levels of biological organisation and how this offers advantages beyond pure statistical methods in linking genotype to phenotype for plant breeding”. Charlie Messina is a senior scientist at DuPont Pioneer. James Gerber leads the Global Landscapes Initiative as part of the Institute on the Environment at the University of Minnesota, and Zoran Nikolski leads the Mathematical Modelling and Systems Biology group at the Max Planck Institute of Molecular Plant Physiology in Potsdam, Germany.

Submit an abstract and register by December 1st to take advantage of early bird pricing.


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