Co-Founder / Chief Advancement Officer
CurrentCo-created a new non-profit, EarthSenseAI, focused on accelerating the adoption of artificial intelligence within the environmental/conservation domain.
Apr 2022 - Present
AeroLeads people directory · profile
Scott Smith Email & Phone Number
Applied AI Researcher | AI For Conservation
at
EarthSenseAI
1 work email found
@vulcan.com
LinkedIn matched
✓ Verified Jun 2026
4 data sources
Profile completeness 100%
Current company
Role
Applied AI Researcher | AI For Conservation
Location
Issaquah, Washington, United States
Who is Scott Smith? Overview
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Quick answer
Scott Smith is listed as Applied AI Researcher | AI For Conservation at EarthSenseAI, based in Issaquah, Washington, United States. AeroLeads shows a work email signal at vulcan.com and a matched LinkedIn profile for Scott Smith.
Scott Smith previously worked as Co-Founder / Chief Advancement Officer at Earthsenseai and Senior Research Engineer at Allen Institute For Ai (Ai2). Scott Smith holds Bse, Computer Science from University Of Pennsylvania.
Company email context
Email format at EarthSenseAI
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*@vulcan.com
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Profile bio
About Scott Smith
Applied artificial intelligence researcher specializing in autonomous systems and machine learning, with strong team leadership, research, and programming skills. Passion for applying artificial intelligence to environmental and conservation problems. Extensive experience in program management, forming and leading technology development teams, and implementing computing solutions for challenging problems in a diverse array of application areas. Experience in all stages of technology development, including basic research, rapid prototyping and demonstrations, technology maturation, and production implementations. Strong interpersonal and communications skills, with the ability to “translate” between technologists, marketing and business people, and management.Interested in consulting or short-term opportunities, particularly involving autonomous systems or artificial intelligence research.
Listed skills include Artificial Intelligence, Programming, Robotics, Software Engineering, and 33 others.
Current workplace
Scott Smith's current company
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8 roles · 38 years
Scott Smith work experience
A career timeline built from the work history available for this profile.
Senior Research Engineer
Sep 2021 - Apr 2022
Senior Machine Learning Engineer
Worked in the machine learning group within Vulcan Technology. The group supported projects across Vulcan’s enterprises, with a particular emphasis on conservation and environmental problems.
Feb 2018 - Sep 2021
Senior Artificial Intelligence Consultant / Principal
Progressive Ai Consulting, Llc
Progressive AI Consulting provided expertise and programming services related to artificial intelligence technologies. Projects included data analysis for next-generation DNA sequencing of HLA genes and business planning for cloud-based AI services.
2016 - Mar 2018
Senior Data Analytics Researcher, Associate Technical Fellow
Senior machine learning expert in the primary data analytics research organization in Boeing. Demonstrated ability to work with the changing requirements common in data analytics applications and to produce results to meet deadlines in a dynamic environment. ◆ Provided technical oversight of a high-visibility flight optimization project that was the basis.
2012 - Nov 2015
Senior Autonomous Systems Researcher, Associate Technical Fellow
Most recent work in autonomous systems involves human-machine teaming utilizing dialog-based speech interaction and automated planning methods. The project has produced demonstrations showing the application of these technologies to airplane systems and to factory robotics. Prior activities in the area of autonomous systems development have included path.
2000 - Nov 2015
Neural Network Researcher, Advanced Computer Technologist
- Senior researcher achieving the position of Associate Technical Fellow in 1997.
- Managed and coordinated numerous projects in the field of neural networks. Led development of an extensive software library, written in C, for simulation of neural network architectures, sensor and data processing, and.
- Led the development and deployment of a production system for geometry-based retrieval of engineering designs using neural networks. This system, known as the Neural Information Retrieval System (NIRS), was used to.
- Developed a process flow simulator in Smalltalk for a program designing a reusable space launch system with significantly lower costs than existing rockets.
Oct 1989 - 2000
Intern
Developed methods for detecting intron/exon boundaries in DNA sequences using artificial neural networks. This was an extremely exciting position for me and inspired my interest in applying artificial intelligence methods to solve challenging real-world problems.
1988 - 1988
1 education record
Scott Smith education
-
University Of Pennsylvania
FAQ
Frequently asked questions about Scott Smith
Quick answers generated from the profile data available on this page.
What company does Scott Smith work for?
Scott Smith works for EarthSenseAI.
What is Scott Smith's role at EarthSenseAI?
Scott Smith is listed as Applied AI Researcher | AI For Conservation at EarthSenseAI.
What is Scott Smith's email address?
AeroLeads has found 1 work email signal at @vulcan.com for Scott Smith at EarthSenseAI.
Where is Scott Smith based?
Scott Smith is based in Issaquah, Washington, United States while working with EarthSenseAI.
What companies has Scott Smith worked for?
Scott Smith has worked for Earthsenseai, Allen Institute For Ai (Ai2), Vulcan Inc., Progressive Ai Consulting, Llc, and Boeing.
How can I contact Scott Smith?
You can use AeroLeads to view verified contact signals for Scott Smith at EarthSenseAI, including work email, phone, and LinkedIn data when available.
What schools did Scott Smith attend?
Scott Smith holds Bse, Computer Science from University Of Pennsylvania.
What skills is Scott Smith known for?
Scott Smith is listed with skills including Artificial Intelligence, Programming, Robotics, Software Engineering, Machine Learning, Software Development, Computer Science, and Distributed Systems.
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