Rae Chipera is a data scientist with 10+ years of industry experience building novel AI solutions for national defense, quantitative finance, and trades. She is completing a PhD in data science and holds an MBA in quantitative finance.
She studied machine learning at MIT and deep learning at Carnegie Mellon University.
After graduating high school in Los Alamos, NM, Chipera enlisted in the Marines and served as a Signals Intelligence (SIGINT) Analyst.
After completing her military service, Chipera transitioned to quantitative finance, developing predictive models that successfully navigated major market events including the 2020 COVID crisis. Her analytical approach to high-stakes decision-making under uncertainty translates directly to mission-critical AI applications.
Chipera's research focuses on explainable AI systems designed for resource-constrained environments. She advocates for transparent, auditable algorithms over black-box solutions - a principle that drives Jaxorik's approach to government contracting. Her work emphasizes practical deployment in austere conditions where traditional cloud-based AI fails.
With security clearance eligibility and deep understanding of classified environments, Chipera bridges the gap between cutting-edge AI research and operational military requirements. She has delivered multi-million dollar technical solutions to government clients and maintains active research partnerships with national laboratories.
Jaxorik operates under strict ethical guidelines, maintaining ITAR awareness by default unless the client specifies otherwise.
We develop solutions that prioritize national security interests. The company is registered for federal contracting and maintains comprehensive professional liability coverage.
UEID: K8ENCCGZ2M13 | SAM.gov Registered | SBA WOSB + SDVOSB Certification Pending
Listed in Disaster Response Registry