Dr. Nicholaus Nelson-Goedert
Founder and CEO
- Environmental sociology lecturer
- Expert in emerging renewable technologies
- Trained in PyTorch, TensorFlow, computer vision, supervised learning, and unsupervised learning
- Studied photovoltaic system design, wind generation modeling, biodiversity monitoring, and environmental safety
- AI and Climate Change, DeepLearning.AI
- Exploring Renewable Energy Schemes, University of Pennsylvania
- Oil and Gas Industry Operations and Markets, Duke University
- MBA, Quantic School of Business and Technology
AI Specialist
Dr. Roderick Tabalba
Chief AI Strategist
- PhD in Computer Science from University of Hawaii at Manoa specializing in human-AI collaboration and data visualization
- Principal Investigator on multiple NSF-funded projects totaling $4M+ focused on AI-driven data visualization and environmental analytics
- Proven team leader managing cross-institutional collaborations and distributed research teams
- Award-winning developer with first-place hackathon victory in AI-powered simulation and optimization systems
- Published in IEEE Computing in Science & Engineering and ACM
Geology Team
Jason Torres-Smith
GIS Specialist
- Geospatial technician, US Army
- CPOF technician, US Army
- Developed geospatial products within ArcGIS Pro
- Built automated scripts for coordinate processing and terrain classification in military mapping systems
- Generated optimized routes for aviation and logistical assets in varied terrain environments
- Maintained geospatial programs and tools through system updates
- Bachelor’s in Environmental Management, Ohio University
- Geospatial Analysis & Programming, University of Maryland
Dr. Joshua Pwavodi
Geologist
- Geoscience Engineer, BRGM (French Geological Survey)
- PhD in Geophysics from Université Grenoble Alpes
- Specialist in multi-physics imaging, petrophysics, and rock mechanics for geothermal and renewable resources
- Skilled in seismic data analysis, petrophysical modeling, and using AI for seismic inversion
- Experience in Python, SQL, Keras, and TensorFlow
- Published in Artificial Intelligence in Geosciences and Energy Geoscience