EGU24-2658, updated on 08 Mar 2024
https://doi.org/10.5194/egusphere-egu24-2658
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

X-informatics at the center of scientific discovery: Detecting biosignatures, predicting mineral occurrences, and characterizing planetary kinds. 

Anirudh Prabhu1, Shaunna Morrison1, Robert Hazen1, Michael L. Wong1, Grethe Hystad2, Henderson J. Cleaves II3, Ahmed Eleish1, George Cody1, Vasundhara Gatne4, Jose P Chavez3, Xiaogang Ma5, Peter Fox6, and the Mineral Informatics Team*
Anirudh Prabhu et al.
  • 1Carnegie Institution for Science, Earth and Planets Laboratory, United States of America (aprabhu@carnegiescience.edu)
  • 2Purdue University Northwest, United States of America
  • 3Howard University, United States of America
  • 4Virginia Polytechnic Institute, United States of America
  • 5University of Idaho, United States of America
  • 6Rensselaer Polytechnic Institute, United States of America
  • *A full list of authors appears at the end of the abstract

Data Science and Informatics methods have been at the center of many recent scientific discoveries and have opened up new frontiers in many areas of scientific inquiry. In this talk, I will take you through some of the most recent and exciting discoveries we've made and how informatics methods planned a central role in these discoveries. 

First, we will look at our work on data-driven biosignature detection, specifically how we combine pyrolysis-gas chromatography-mass spectrometry and machine learning to build an agnostic molecular biosignature detection model. 

Next, we will talk about how we used association analysis to predict the locations of as-yet-unknown mineral deposits on Earth and potentially Mars. These advances hold the potential to unlock new avenues of economic growth and sustainable development.

Finally, we will set our sights on exoplanets—celestial bodies orbiting distant stars. The discovery of thousands of exoplanets in recent years has fueled the quest to understand their formation, composition, and potential habitability. We develop informatics approaches to better understand, classify and predict the occurrence of exoplanets by embracing the complexity and multidimensionality of exoplanets and their host stars.

Mineral Informatics Team:

Jolyon Ralph; Robert T. Downs; Samuel Perry; Peter C. Burns; Jiyin Zhang; Xiang Que; Jason Williams

How to cite: Prabhu, A., Morrison, S., Hazen, R., Wong, M. L., Hystad, G., Cleaves II, H. J., Eleish, A., Cody, G., Gatne, V., Chavez, J. P., Ma, X., and Fox, P. and the Mineral Informatics Team: X-informatics at the center of scientific discovery: Detecting biosignatures, predicting mineral occurrences, and characterizing planetary kinds. , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-2658, https://doi.org/10.5194/egusphere-egu24-2658, 2024.