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Senior Technical Fellow / AI Chief Technologist / dragos.ai
Technical lead of the Artificial Intelligence research. Lead - AI for autonomous systems - perception, planning & decision making, certification. Current focus and interests: - Engineering of AI techniques into pipelines and deployed systems; - Uncertainty estimation and decision making under uncertainty; - Certification of AI systems; design time and runtime assurance methods; - Generative AI methods for decision systems; - Design of systems and approaches that work in the real world; - Developing a strategic vision, hiring and forming highly skilled teams for that vision; - Design, development, testing, validation of computer vision, perception, dialogue, planning for decision systems; - Design of experiments for data collection and testing of high-risk systems; - AI Engineering, building robustness in systems: learning, reasoning, symbolic methods; - Generative models for the design of complex systems (configurations, airplane subsystems, parts); - Sequential decision making - reinforcement learning; - Inverse reinforcement learning. - Anomaly detection and handling surprises at runtime. - Ensemble methods. Deep understanding and extensive experience with machine learning, planning, intelligent decision systems, autonomous ground and air vehicles, airplane health management. Designed and implemented intelligent and learning systems that work in collaborative human-computer environments, surveillance & monitoring and predictive maintenance systems. Sequential decision making methods (reinforcement learning and beyond), anomaly detection, active learning, ensemble methods, cost-sensitive learning, adversarial learning, relational learning. Inverse reinforcement learning & inverse planning + state-action models. Task & motion planning, localization, mapping for autonomous vehicles. Adversarial learning. Intelligent interfacing with domain experts, interactive learn
Oregon State University
Ph.D., Computer Science / Machine Learning
January 1, 1995 – January 1, 2001
Boeing
Artificial Intelligence Chief Technologist
January 1, 2018 – Present
Boeing
Senior Scientist & Technical Fellow
January 1, 2008 – January 1, 2018
Boeing
Research Scientist
January 1, 2001 – January 1, 2007
Bellevue, WA
Oregon State University
Graduate Research Assistant
January 1, 1995 – January 1, 2001
Cultural Fit Analysis
The candidate possesses a highly specialized and deep background in AI/ML research and application within the aerospace industry. While their technical depth is exceptional, their experience is heavily skewed towards research and advanced AI/ML development, which may not directly align with a typical 'Data Analyst' role that often focuses on business intelligence, reporting, and more conventional statistical analysis. The lack of diverse project experience outside of advanced AI/ML and aerospace could indicate a potential mismatch for roles requiring broader data analysis skills across different business domains. Their profile suggests a strong fit for a senior AI/ML scientist or research role, rather than a standard Data Analyst position.
Soft Skills & Operational Fit
The candidate's extensive experience as a Chief Technologist and Senior Scientist at Boeing suggests strong leadership, problem-solving, and strategic thinking abilities. Their role as a PI on DARPA programs indicates strong project management and collaboration skills. However, specific details on communication style, stress handling, or team collaboration are not available from the provided data.