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Senior Scientist | Neuro-Symbolic AI for Autonomous Systems, Cyber-Physical, & Radar Sensor Technology
I am a Lead Scientist and Staff-level Engineer with 10 years of experience bridging the gap between novel AI theory and production-grade systems. My expertise lies in Neuro-Symbolic AI, combining the learning power of Neural Networks with the reasoning of Symbolic Logic to solve difficult problems in data-sparse and high-risk environments. I have personally won and managed a $17M+ R&D portfolio, leading cross-functional teams to deliver software for three critical sectors: 1. Medical Readiness and Biosurveillance: Architected MedREP-GT ($4.75M), a logistics platform for medical countermeasures, and VECTOR-AI ($4.0M), for infectious disease surveillance. My work focuses on facilitating complex risk planning and resource optimization. 2. Trusted Autonomy & Robotics: Served as a Technical Lead for the DARPA "In the Moment" (ITM) ($4.0M) program, designing the alignment frameworks that ensure autonomous agents act ethically in triage scenarios. Previously, I was a key contributor on DARPA URSA, developing an evidence marshalling system to distinguish threats from non-threats and a logical reasoner to plan autonomous vehicle behaviors, Expert in ROS-M and Human-Machine Teaming. 3. Cyber-Physical Defense: Built Generative AI (GANs) defense systems (QUINN) and Autonomous Cyber-Hunt agents (CyCog-H) that protect edge systems from adversarial attacks. ------------------------------------------------ Core Competencies Technical: Neuro-Symbolic AI, Generative Adversarial Networks (GANs), Reinforcement Learning, Computer Vision (OpenCV), Deep Learning (Tensorflow/PyTorch/Keras). Engineering: Python, C/C++, Java, Docker, SQL, MATLAB, Full-Stack Development Leadership: Principal Investigator (PI), Technical Product Management, Proposal Capture, R&D Strategy. Research Specialties: AI Alignment & Safety, Cognitive Architectures (Soar), Multi-Agent Systems, Decision Intellig
University of Notre Dame
Master's degree, Computer Science
January 1, 2012 – January 1, 2017
Alma College
Bachelor of Science (B.S.), Computer Science and English
January 1, 2008 – January 1, 2012
Soar Technology, LLC
Lead Scientist Artificial Intelligence
October 1, 2023 – January 1, 2026
Soar Technology, LLC
Artificial Intelligence Research Scientist
August 1, 2021 – October 1, 2023
Soar Technology, LLC
Artificial Intelligence Engineer III
August 1, 2019 – August 1, 2021
Soar Technology, LLC
Artificial Intelligence Engineer II
July 1, 2017 – August 1, 2019
FX Palo Alto Laboratory
Research Intern (Machine Learning, Eye Tracking, Human-Computer Interaction)
September 1, 2015 – December 1, 2015
Palo Alto, California
University of Notre Dame
Graduate Research Assistant (Machine Learning, Data Science, Deep Learning, HCI)
June 1, 2012 – January 1, 2017
South Bend-Mishawaka Region
Cultural Fit Analysis
The candidate has a strong background in AI research and development, primarily within a single company (Soar Technology, LLC) and academic institutions. While the technical depth is high, the target role is 'Data Analyst'. The candidate's experience is heavily skewed towards advanced AI/ML research, principal investigator roles, and strategic leadership, which might be an overqualification or a mismatch for a typical Data Analyst role that often focuses more on data extraction, transformation, visualization, and reporting rather than fundamental AI model design and R&D. The project diversity is within the AI/ML domain, but less on traditional data analysis tasks. This suggests a potential cultural mismatch if the Data Analyst role is not heavily focused on advanced AI/ML data analysis.
Soft Skills & Operational Fit
The candidate's experience as a Lead Scientist and Principal Investigator indicates strong leadership, project management, and problem-solving skills. The descriptions suggest an ability to work on complex, long-term R&D initiatives, which aligns with roles requiring strategic thinking and independent work. The focus on federally funded programs implies experience with structured methodologies and reporting.