Pamela Toman is interested in structure: she relishes discovering organization in a mass of information and using small blocks of meaning to build new capabilities.

She currently holds three roles:
— She studies artificial intelligence in the Computer Science program at Stanford University.
— She develops predictive models on billion-row datasets as a graduate intern at Allstate.
— She provides computational and quantitative analytic consulting as a Lead Data Scientist at Booz Allen Hamilton.

Pamela Toman’s undergraduate work focused on natural language processing. She studied Linguistics and Computer Science at Georgetown University, where she graduated first in her program.

In addition to her work in artificial intelligence, predictive modeling, and analytic consulting, Pamela Toman taught language, culture, and their intersection in Modern Standard Arabic and in German for multiple years at Concordia Language Villages. CLV is a world-language and culture education program that sponsors summer programs in 15 modern languages, all of which are taught through a language and cultural immersion philosophy. She attended CLV as a student and deeply believes in the program and its mission.

Pamela Toman is also an amateur radio operator, operating under her FCC-assigned callsign since 1998. She has served on the Board of Directors of the Vienna Wireless Society and supports the Foundation for Amateur Radio. She volunteered with the Literacy Council of Northern Virginia, and with DC’s Different Drummers. She spends her free time playing the clarinet and alto saxophone, reading speculative and non-fiction, and hiking in state and national parks.