Kate Zimmerman currently is leading HawkEye 360’s software engineering teams, managing how HawkEye 360 builds its geolocation processing pipelines and applies deep learning to maximize value from HawkEye 360’s large-scale geospatial datasets. HawkEye 360’s satellites deliver precise mapping of radio frequency (RF) emissions and provide the unique ability to identify and geolocate sources of RF from space. HawkEye 360 is leveraging a cloud-native architecture to manage complex analytic pipelines that leverage multiple machine learning models and other algorithms to provide deeper insights to our RF data.
Before joining HawkEye 360, Zimmerman worked at Amazon Web Services (AWS) leading a team of data scientists, and prior to entering industry was an active-duty officer for the United States Air Force, where she worked on RF satellites and ground systems at the National Reconnaissance Office (NRO). She is a graduate of the United States Air Force Academy and the U.S. Air Force Institute of Technology, with degrees in Computer Engineering and Electrical and Electronics Engineering.