Event Date
Guest Speaker: Dr. Alex Honeyman, Ph.D., Postdoctoral Scholar, Earth System Science, Doerr School of Sustainability, Stanford University
Dr. Honeyman presents: "Data Science and Molecular (bio)geochemical Signatures for Environmental Prediction"
About the speaker: Dr. Honeyman works at the intersections of data science, field work, laboratory experimentation, and (bio)geochemistry. Previously, he has worked on the recovery of post-wildfire soils through the lens of microbial diversity. His current work involves two major thrusts (both requiring a hybridization of environmental molecular science and data science): Firstly, Dr. Honeyman deciphers links between groundwater overuse and groundwater quality in Colorado; second, he investigates the (bio)geochemical character of wildfire smoke in the contiguous United States by blending analyses of physical samples with large geospatial datasets and atmospheric particle transport models. Overall, his research seeks to exploit the information vastness of DNA, RNA, and trace metals in the environment to predict outcomes from environmental processes.
Contact Scott Dawson (scdawson@ucdavis.edu) or Amanda Huang (amnhuang@ucdavis.edu) for any questions.