Julian Waugh
About Julian Waugh
Julian Waugh is a Senior Data Scientist with expertise in developing generative AI pipelines for unstructured text data. He has experience in various roles, including data analysis and research, and currently focuses on blockchain research and anti-money laundering efforts.
Current Role at Amentum
Julian Waugh serves as a Senior Data Scientist at Amentum, a position he has held since 2023. His work focuses on leveraging large language models, including BART, BERT, LLAMA2, and Mistral, to analyze unstructured text data. He is part of the FinCEN Cyber and Emerging Technologies team, where he engages in blockchain research and network graph analysis to support anti-money laundering initiatives. This role allows him to apply advanced data science techniques to address complex challenges in the financial sector.
Previous Experience in Data Science
Before joining Amentum, Julian Waugh worked as a Data Scientist at Flex from 2021 to 2022. Prior to that, he was a Data Analyst at CNA Corporation from 2019 to 2021, where he gained experience in data analysis within a corporate environment. His earlier roles include a Summer Research Assistant position at the Harris School of Public Policy at the University of Chicago in 2017 and a Summer Intern at MIT Lincoln Laboratory in 2018, focusing on chemical and biological defense systems.
Educational Background
Julian Waugh earned a Bachelor's degree in Statistics from the University of Chicago, where he studied from 2015 to 2019. His education provided him with a strong foundation in statistical analysis and data interpretation, which he has applied throughout his career in various data science roles. Prior to attending the University of Chicago, he completed his high school education at Acton Boxborough Regional High School from 2011 to 2015.
Technical Skills and Expertise
Julian Waugh has developed custom generative AI pipelines for analyzing unstructured text data. His expertise includes working with large language models and engaging in advanced data analysis techniques. He holds a TS/SCI security clearance, which enables him to work on sensitive projects requiring a high level of trust and confidentiality. His technical skills are complemented by his experience in blockchain research and network graph analysis.