Bobby Jackson is an Atmospheric Scientist at Argonne National Laboratory with expertise in radar meteorology, artificial intelligence for meteorological observations, and boundary layer processes. He got his Ph.D. in 2015 at the University of Illinois in Urbana-Champaign in Atmospheric Sciences where he characterized the uncertainties in ice crystal measurements from aircraft optical imaging probes due to particles shattering on the housing of the instruments. He then did a postdoctoral appointment at the University of Wyoming, analyzing in situ aircraft measurements of developing cumulonimbus in England.
In 2016, he moved to his current role at Argonne National Laboratory, where he leads the development of scanning weather radar value added products for the U.S. Department of Energy’s Atmospheric Radiation Measurement (ARM) Facility and the Integrated Energy Systems Office. He is also a machine learning engineer for the ARM Data Quality Office, specializing in creating workflows to use AI/ML for the quality control of ARM datasets. Finally, he also specializes in the use of artificial intelligence for intelligent sensing, developing self-driven systems for boundary layer meteorology.
In 2016, he moved to his current role at Argonne National Laboratory, where he leads the development of scanning weather radar value added products for the U.S. Department of Energy’s Atmospheric Radiation Measurement (ARM) Facility and the Integrated Energy Systems Office. He is also a machine learning engineer for the ARM Data Quality Office, specializing in creating workflows to use AI/ML for the quality control of ARM datasets. Finally, he also specializes in the use of artificial intelligence for intelligent sensing, developing self-driven systems for boundary layer meteorology.