CAREER: Learning mechanistic models with automated experiments — NSF Award to Regents of the University of Michigan - Ann Arbor (M
While the microbiome revolution revealed thousands of new species, it also presents a challenge as new species are identified at a faster pace than can be characterized by microbiologists using conventional methods. Without knowing what these new species do, understanding how a microbiome contributes to the behavior of
| Award title | CAREER: Learning mechanistic models with automated experiments |
|---|---|
| Award ID | 2339026 |
| Awardee | Regents of the University of Michigan - Ann Arbor |
| City | ANN ARBOR |
| State | MI |
| Amount obligated | $816,778 |
| Principal investigator | Paul Jensen |
| Program | Cross-BIO Activities, Systems and Synthetic Biology |
| Start date | 02/01/2024 |
| Abstract | While the microbiome revolution revealed thousands of new species, it also presents a challenge as new species are identified at a faster pace than can be characterized by microbiologists using conventional methods. Without knowing what these new species do, understanding how a microbiome contributes to the behavior of biological systems is difficult. To address this challenge, this proposal develops autonomous systems that combine artificial intelligence and automated wet experiments to build m |
| Source | NSF Awards |
$799/mo
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