Alessandro Pinto
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Alessandro Pinto

Autonomy Assurance Lead

Alessandro Pinto works on rigorous systems engineering and high-assurance autonomous systems.

Alessandro Pinto

Alessandro Pinto

NASA JPL

About

I am the Autonomy Assurance Lead in the Office of Safety and Mission Success at the NASA Jet Propulsion Laboratory. I develop processes and computer-assisted tools that use rigorous methods to deliver, operate, and maintain dependable and trusted autonomous systems.

My work sits at the intersection of embedded systems, artificial intelligence, formal methods, and design automation, with the goal of increasing the level of autonomy of space systems.

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Research interests

High-assurance autonomy

Engineering methods, processes, and tool for dependable autonomous systems in safety- and mission-critical applicaitons.

Formal and model-based methods

Architectures, specifications, analysis, verification, and synthesis for complex cyber-physical systems.

Artificial Intelligence in engineering

How do we best use artifical intelligence in tool development, embedded software, assurance, and operations.

Experience

2022–present

NASA Jet Propulsion Laboratory

Autonomy Assurance Lead

NASA Jet Propulsion Laboratory, California Institute of Technology · Pasadena, California
Development of processes, methods, and tools to engineer dependable autonomous systems for space exploration.

2022–present

University of California, Santa Cruz

Associate Adjunct Professor of Electrical and Computer Engineering

University of California, Santa Cruz · Santa Cruz, California
Research on formal methods for the analysis of cyber-physical systems.

2018–2022

Raytheon Technologies

Technical Fellow, Embedded Autonomous Systems

Raytheon Technologies Research Center · Berkeley, California
Research roadmaps, technical oversight, technology transition, and mentoring.

2014–2017

United Technologies Research Center

Associate Director, Research, Autonomous and Intelligent Systems

United Technologies Research Center · Berkeley, California
Technical roadmaps for knowledge representation, reasoning, and distributed autonomous-system architectures.

2008–2014

United Technologies Research Center

Staff Engineer, Autonomous and Intelligent Systems & Design Methods

United Technologies Research Center · Berkeley, California
Tools for system design and verification, online reasoning, and decision-making.

Education

Ph.D., Electrical Engineering and Computer Sciences
University of California, Berkeley

M.S., Electrical Engineering and Computer Sciences
University of California, Berkeley

Laurea, Electronic Engineering, summa cum laude
University of Rome “La Sapienza”

Contact

For professional correspondence, email apinto@jpl.nasa.gov. Personal correspondence may be sent to apinto@berkeley.edu.

© 2026 Alessandro Pinto

 

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