AI Research Scientist

Daniel Sanabria is an AI Research Scientist with a wealth of experience in artificial intelligence (AI), machine learning, and natural language processing, with a primary focus on applying these technologies to the frontier of space exploration. With a solid background in software engineering, data science, and advanced AI techniques, Daniel’s work is grounded in innovative approaches to solving some of the most complex challenges in space robotics.

His current research, as outlined in his dissertation "Traversing Mars: A Rover and AI Experience", explores the integration of AI-driven systems for autonomous operation of rovers and drones on Mars. His research seeks to leverage advanced AI techniques such as machine learning, neuromorphic computing, and quantum computing to overcome the harsh environmental constraints of Mars, such as communication delays, power limitations, and extreme terrain.

The dissertation explores interdisciplinary strategies that combine AI, physics, neuroscience, and engineering to enhance robotic autonomy, focusing on AI’s role in optimizing decision-making processes for Mars-based rovers and aerial drones. Daniel’s work is contributing to the future of autonomous exploration beyond Earth, making AI-driven systems capable of operating independently in extraterrestrial environments.

With over a decade of experience in technology and AI, Daniel is deeply committed to pushing the boundaries of AI and space exploration. He is driven by the belief that AI will be a key enabler in the next era of space missions, allowing us to explore other planets with greater autonomy, efficiency, and precision.

Education

• PhD in Artificial Intelligence, Capitol Technology University, 2025

• MS in Computer Science with Concentration in Artificial Intelligence, Lewis University, 2022

• BS in Computer Science, Rasmussen University, 2020

• AS in Application and Software Development, Rasmussen University, 2019

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