A5053313206- Metabolomics and Mass Spectrometry Studies
- Protein Structure and Dynamics
- COVID-19 Digital Contact Tracing
- COVID-19 epidemiological studies
- Bioinformatics and Genomic Networks
- Immune responses and vaccinations
- Geochemistry and Geologic Mapping
- Origins and Evolution of Life
- Data-Driven Disease Surveillance
Arizona State University
2019-2022
Santa Fe Institute
2020-2021
All life on Earth is unified by its use of a shared set component chemical compounds and reactions, providing detailed model for universal biochemistry. However, this notion universality specific to known biochemistry does not allow quantitative predictions about examples yet observed. Here, we introduce more generalizable concept biochemical that akin the kind found in physics. Using annotated genomic datasets including an ensemble 11,955 metagenomes, 1,282 archaea, 11,759 bacteria, 200...
Studying biochemical networks at a planetary scale reveals deeper level of organization than what has been understood so far.
One of the more widely advocated solutions for slowing down spread COVID-19 has been automated contact tracing. Since proximity data can be collected by personal mobile devices, natural proposal to use this tracing providing a major gain over manual implementation. In work, we study characteristics voluntary and its effectiveness mapping pandemic due SARS-CoV-2. We highlight infrastructure social structures required work. display vulnerabilities strategy inadequate sampling population, which...
ABSTRACT One of the more widely advocated solutions for slowing down spread COVID-19 has been automated contact tracing. Since proximity data can be collected by personal mobile devices, natural proposal to use this tracing providing a major gain over manual implementation. In work, we study characteristics voluntary and its effectiveness mapping pandemic due SARS-CoV-2. We highlight infrastructure social structures required work. display vulnerabilities strategy inadequate sampling...
Inferring the properties of exoplanets from their atmospheres, while confronting low resolution and signal-to-noise in context quantities we want to derive, poses rigorous demands upon data collected observation. Further compounding this challenge is that inferences exoplanet are built forward models, which can include errors due incomplete or inaccurate assumptions atmospheric physics chemistry. The confluence observational noise model error makes developing techniques identify predictive...