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Christopher Benson
Lead Data Scientist @C3 AI
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WORK HISTORY
Lead Data Scientist @C3 AI
Washington, DC, US
Multimodal Entity Fusion for AIS and SAR- Designed probabilistic entity resolution and anomaly detection frameworks combining structured maritime telemetry (AIS) with remote sensing (SAR). Implemented fusion pipelines for cross-modal alignment, uncertainty handling, and detection of anomalous vessel behaviors under partial observability.Digital Twin Modeling for Predictive Maintenance for Aircraft Sensor Data- Developed anomaly detection and early-failure prediction models on high-frequency, multivariate aircraft telemetry. Designed feature extraction pipelines from raw sensor streams and evaluated both classical statistical methods and deep learning models.
EDUCATION
The Ohio State University
Bachelor’s Degree, Major: Computer Science, Minor: Neuroscience
Mariemont High School
High School, High School Degree
Carnegie Mellon University
Masters of Science in Artificial Intelligence and Innovation (MSAII) , Artificial Intelligence
SKILLS
ABOUT CHRISTOPHER BENSON
I’m a cleared Lead Data Scientist specializing in building and deploying mission-critical machine learning systems that operate in complex, high-stakes environments.I’ve led multiple end-to-end ML initiatives from problem scoping and stakeholder alignment through model development, evaluation, and production deployment, delivering solutions that actively serve hundreds of users. My work sits at the intersection of advanced modeling and real-world operational impact.Highlights of my experience include:• Predictive Maintenance & Digital Twins – Developed digital twin models for aircraft sensor systems to detect early-stage failures and improve operational readiness for the U.S. Air Force.• Automated Alert Processing – Led development of ML-driven adjudication and triage pipelines for DCSA, enabling scalable processing of suspicious activity reports and reducing manual review burden.• Radar Signal Classification – Designed deep learning architectures for radar tracking event classification, applying advanced signal processing techniques to extract actionable intelligence from noisy environments.• Maritime Domain Awareness – Built multimodal entity fusion and anomaly detection systems integrating AIS and SAR data to enhance decision advantage and domain awareness.Technically, I bring deep experience in machine learning, time-series analysis, multimodal data fusion, anomaly detection, and production ML systems. Organizationally, I focus on translating ambiguous mission needs into deployable, scalable systems that deliver measurable value.I’m particularly motivated by problems that require combining rigorous data science with operational constraints. My career philosophy is to work with smart people on interesting problems that have a positive impact on the world.
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