School of Humanities and Sciences
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John Duchi
Associate Professor of Statistics, of Electrical Engineering and, by courtesy, of Computer Science
Current Research and Scholarly InterestsMy work spans statistical learning, optimization, information theory, and computation, with a few driving goals: 1. To discover statistical learning procedures that optimally trade between real-world resources while maintaining statistical efficiency. 2. To build efficient large-scale optimization methods that move beyond bespoke solutions to methods that robustly work. 3. To develop tools to assess and guarantee the validity of---and confidence we should have in---machine-learned systems.
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Christopher M. Dundas
Postdoctoral Scholar, Biology
Current Research and Scholarly InterestsSoil can have an enormous impact on climate change mitigation, as atmospheric CO2 is captured and stored in large quantities by soil organic matter. Plants mediate carbon sequestration by transferring aboveground photosynthesis products to belowground roots. This carbon is stabilized into soil pools by root growth/biomass turnover, exudation of organic compounds, and metabolization by soil microbes. Crops bioengineered to increase soil carbon input could boost net CO2 capture and improve agricultural productivity (e.g., via elevated water and nutrient availability). However, genetic engineering targets that control carbon exchange from roots to soil remain poorly defined. Since carbon distribution within plants is controlled by sugar metabolization and transport, genes that alter these processes may also regulate carbon input to root-proximal soil (i.e., the rhizosphere). At Stanford, Christopher will study how these genes affect soil carbon input by Setaria viridis, a model energy grass that is a promising sustainable fuel source. Leveraging high throughput root imaging technology and genetic circuit design, he will construct root-associating bacterial strains and transgenic Setaria that allow researchers to measure/modulate sugar flux from root systems. These living sensors/actuators will be used to determine genetic design rules of soil carbon input at the root-rhizosphere interface. Results will inform engineering of biofertilizer bacteria and functional plant genes that can increase carbon release into soils by other food- and energy-relevant crops.
