Dave Babbitt

Machine Learning Engineer @ BigBear.ai

About Dave Babbitt

Dave Babbitt is a Machine Learning Engineer currently working at BigBear.ai. He has extensive experience in data science and machine learning, having previously held positions at notable organizations such as IT Concepts, Booz Allen Hamilton, and NATO Allied Command Transformation.

Work at BigBear.ai

Dave Babbitt currently serves as a Machine Learning Engineer at BigBear.ai, a position he has held since 2023. In this role, he performs technical diligence on emerging AI techniques from various sectors, including academia and the open-source machine learning community. He also contributes to the company's thought leadership by delivering presentations and participating in both academic and industry conferences. Additionally, he advises on intellectual property strategy and works to expand BigBear's intellectual property portfolio.

Previous Experience in Data Science

Prior to his current role, Babbitt held several positions in data science. He worked as a Senior Data Scientist at IT Concepts, Inc. for 10 months in Greater Boston from 2021 to 2022. Before that, he spent five years at Booz Allen Hamilton as a Data Scientist in Lexington, MA, from 2015 to 2020. His experience also includes a role as a Data Scientist at Accenture for six months in 2022-2023.

Technical Roles and Contributions

Babbitt has a diverse background in technical roles, including positions as an eBusiness ColdFusion Technical Lead at Knights of Columbus and a Software Engineer at Intelligent Software Solutions. He also served as a Content Manager at NATO Allied Command Transformation from 2012 to 2015. His technical expertise includes preparing briefings and proposals for research sponsors such as DARPA and IARPA.

Education and Expertise

Dave Babbitt's educational background includes a Master's degree in Predictive Analytics from Northwestern University, obtained between 2013 and 2015. He also holds a Bachelor of Science in Liberal Arts and Sciences from Excelsior University, completed in 1991. Additionally, he studied Anthropology and Linguistics at the Summer Institute of Linguistics from 1990 to 1993. His early education includes attending Flagstaff High School, where he completed his general studies.

Research and Development Contributions

As part of his academic pursuits, Babbitt developed an agent-based method to economically verify a crypto-economic design for his Master's thesis in Predictive Analytics. He has facilitated corporate engagement with academic institutions for recruitment and research sponsorship opportunities, showcasing his commitment to bridging industry and academia.

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