Amanda Burke has an extensive background in applying machine learning and artificial intelligence models to various scales of meteorological data, ranging from subseasonal severe weather prediction to day ahead hail prediction to real-time convection classification. She holds two degrees in atmospheric science, a bachelors from SUNY Brockport and a Master's degree from the University of Oklahoma. She is pursuing a doctorate with the University of Oklahoma, as well as performing as a supportive scientist with the Innovation Lab at Goddard. Born and raised in Upstate New York, she's excited to apply her knowledge to new frontiers at Goddard. In her spare time, or during meetings, you can catch her playing around with her two cats.
Amanda Burke
(Support Scientist)
| Email: | amanda.l.burke@nasa.gov |
| Org Code: | 606 |
| Address: |
NASA/GSFC Mail Code 606 Greenbelt, MD 20771 |
| Employer: | ADNET SYSTEMS INC |
Brief Bio
Education
2014-2017 SUNY Brockport BS, Meteorology
2017-2019 Univ. of Oklahoma MS, Meteorology
2019-Pres. Univ. of Oklahoma PhD, Meteorology
Professional Service
2021 Coordinator: American Meteorological Society AI Conference
2021 Tutorial Lead: Rocky Mountain Advanced Computing Consortium
2021 Tutorial Lead: 2nd NOAA Workshop on Leveraging AI
2019, 2020 Team Lead: American Meteorological Society Machine Learning Short Course