Using machine learning to model fallout plumes from CBRN incidents: A conversation with Nathan Boyle

ORISE Featurecast

06-02-2024 • 26 min

Nathan Boyle, a former postdoctoral fellow in the Intelligence Community Postdoctoral Research Fellowship Program, has studied machine learning for predicting fallout from chemical biological radiological and nuclear weapons. In this episode of the ORISE Featurecast, Boyle discusses his research emphasis during his fellowship, where he is now, the value of mentorship and collaboration in the research process and so much more. To learn more about Boyle and the IC Postdoctoral Research Fellowship Program, visit https://orise.orau.gov/resources/stem/professional-development/success-stories/2023/nathan-boyle.html

Você pode gostar

A Voz do Brasil
A Voz do Brasil
Rádio Senado
Julgados e Comentados
Julgados e Comentados
Ministério Público do Paraná
Deep Dive Newport Beach
Deep Dive Newport Beach
City of Newport Beach
KLRD
KLRD
KLRD Staff
Whats the Deid
Whats the Deid
379th Air Expeditionary Wing
Bez Żargonu
Bez Żargonu
Filip Curyło, Paweł Śliz, Filip Duski
DD4P
DD4P
DanDan4POTUS
Kosteklecks
Kosteklecks
Der Paritätische Thüringen
SAVAserves
SAVAserves
Tanvi Kohli and Maya Kalsi
Empowering Excellence with Art & Frankie
Empowering Excellence with Art & Frankie
Naval Information Warfare Systems Command (NAVWAR)
La Precarieté
La Precarieté
Subterfuge Radio
For The Movement
For The Movement
National Urban League
Living In Ward 7
Living In Ward 7
WE Speak Studios
Accent d'équipe
Accent d'équipe
Québec d'abord
“Meeting Night”
“Meeting Night”
Heath Pannell