Dan Taninecz Miller, PhD
About Dan Taninecz Miller, PhD
Dan Taninecz Miller, PhD, serves as the Principal Data Scientist at BigBear.ai, where he applies natural language processing models to analyze data. He has extensive experience in data science and research, having previously held positions at Jacobs, George Washington University, and the University of Washington.
Current Role at BigBear.ai
Dan Taninecz Miller, PhD, serves as a Principal Data Scientist at BigBear.ai, a position he has held since 2022. In this role, he focuses on applying large language models (LLMs) and natural language processing (NLP) techniques to analyze and interpret natural language data. His work contributes to the company's efforts in leveraging advanced data analytics to support decision-making processes.
Previous Experience at Jacobs
Before joining BigBear.ai, Dan worked at Jacobs as a Principal Investigator and Senior Data Scientist from 2019 to 2022. During his tenure in the Baltimore, Maryland area, he led various projects that required advanced data analysis and research methodologies. His experience at Jacobs enhanced his expertise in data science and project management.
Educational Background
Dan Taninecz Miller earned his Doctor of Philosophy (PhD) in International/Global Studies from the University of Washington, completing his studies from 2015 to 2019. He also holds a Master of Arts (MA) in International Studies with a focus on Chinese Politics from the same institution, which he completed from 2011 to 2014. Additionally, he completed a double major with honors in Political Science and International Studies at Guilford College.
Research and Expertise
Dan's doctoral research involved the use of computational tools to analyze various aspects of social media, including state-sponsored propaganda and extremist group behavior on platforms like YouTube. He has developed expertise in programming languages such as Python and R, utilizing these tools to treat 'text as data' and analyze large qualitative datasets. His work also includes participation in a DARPA project focused on identifying automated malicious activity on the internet.
Academic and Professional Contributions
In addition to his research roles, Dan has contributed to academia as a Graduate Teaching Assistant and Instructor at the University of Washington. He also participated in the GW CIBER Summer Doctoral Institute as a Summer Doctoral Scholar in 2016. Throughout his career, he has received numerous scholarships and fellowships to support his research initiatives.