Deanna Schreiber-Gregory

About Deanna Schreiber-Gregory

As a biostatistician and data scientist in clinical research and government health, I stand at the powerful intersection of analytics and healthcare with a mission to transform how we understand and improve public health outcomes. My professional journey has been marked by resilience and purpose. From psychology to statistics and ultimately to medicine, each step has equipped me with a unique perspective on how data-driven approaches can revolutionize healthcare delivery and research. Today, I leverage advanced biostatistical theory, machine learning techniques, and AI models to analyze complex biological and clinical data, enabling innovative solutions that have real-world impact on patient care and health systems. Concurrently pursuing an EngD in AI and ML, I\'m deepening my expertise at a time when AI is increasingly transforming personalized medicine, disease prediction, and treatment optimization. What drives me daily:* Advocating for evidence-based approaches that benefit underserved communities * Establishing theoretical rigor and advocating for individuals from unique / difficult to measure populations or who suffer from rare diseases * Making complex health data accessible and actionable for diverse stakeholders * Mentoring and supporting others in navigating STEM careers, especially first-generation professionals, individuals from underserved communities, and working parents * Maintaining ethical integrity as we push the boundaries of what\'s possible with health technology Beyond the algorithms and datasets, I believe in the power of compassionate innovation. My work is ultimately about people - improving lives, advancing equity in healthcare, and creating systems that serve everyone with dignity. As someone who has overcome significant challenges, I bring both technical excellence and authentic human connection to my work. The future of healthcare will be shaped by those who can bridge technological capability with human needs, and I\'m committed to being at the forefront of this transformation.** I am (in no particular order): a Data Scientist, Biostatistician, Trainer, Speaker, Mother, Wife, Aunt, Daughter, Friend, Programmer, Colleague, Writer, Entrepreneur, Volunteer, and Advocate. I LOVE what I do every day and am forever grateful for the people in my life.** Views expressed here are my own and do not reflect those of my company or affiliates.

Experience

1. Lead Data Scientist Data Engineer

   Booz Allen Hamilton

   Feb 2023 — Present

   As an Associate Data Scientist/Data Engineer at Booz Allen Hamilton, I support the development of data-driven solutions for government and commercial clients. While I receive strategic direction from senior leadership, I lead a team of developers to execute and deliver on project objectives. I help design and maintain data pipelines and ETL processes, while also assisting in the implementation of machine learning models to address client analytical needs. My contributions focus on transforming requirements into functional code and ensuring data quality throughout our analytical workflows.Working alongside experienced team members, I apply my skills in Python, SQL, and cloud technologies (AWS/Azure) to contribute to data architecture implementations and analytics solutions. I lead my development team through technical challenges, coordinate work assignments, and ensure timely delivery of high-quality code. I participate in regular client meetings to understand evolving requirements and collaborate across teams to integrate data engineering foundations with data science applications. This hybrid role allows me to develop both technical expertise and leadership skills while delivering valuable insights that support our clients\' missions.Views expressed here are my own and do not represent those of my company.

Education

• The George Washington University

  Doctorate of Engineering, Artificial Intelligence and Machine Learning

• North Dakota State University

  Double Bachelors Degree, Psychology and Statistics

• National University

  Masters of Science, Health and Life Science Analytics