About

Kisife Fomotar Jude

Environmental Intelligence Specialist | Sustainable Forest Management | Remote Sensing | AI for Climate | GIS

The Field-to-AI Bridge

I believe organizations have a duty to embed environmental sustainability into every layer of their operations, creating value that regenerates ecosystems, reduces emissions, and supports resilient communities throughout the value chain.

The practical result: I can read a Sentinel-2 classification, walk the forest plot it represents, and identify precisely what the model got wrong. I translate that gap into verified field data usable for EUDR compliance, REDD+ MRV, carbon credit verification, and biodiversity finance reporting.

Currently, I serve as Environmental Intelligence Specialist at Cleantech Nexus (Geneva), providing field credible biodiversity and NbS intelligence for EU funded projects and emerging market due diligence across Africa and Europe. I also work as Environmental Science Expert at Alignerr and Environmental AI Data Contributor at Outlier.ai, designing expert-level evaluation datasets for frontier LLMs in climate, ecology, and forest governance.

Technical Range

Remote Sensing & Drone Mapping95%

GIS & Spatial Analysis (QGIS, ArcGIS, GEE)90%

AI/ML for Climate & Ecology (LLM Eval, GenAI, CNN)88%

MRV System Design (REDD+, EUDR, Article 6, TNFD)92%

Environmental Due Diligence (ESG, CSRD, EU Taxonomy)90%

Forest Governance & Indigenous Knowledge95%

Carbon Markets & Biodiversity Finance85%

Data Science & Statistical Analysis (R, SPSS)85%

Education

Academic Credentials

Oct 2022 – Feb 2024

MSc Tropical Forestry (SUTROFOR)

Technische Universitat Dresden — Erasmus Mundus Joint Master's

Thesis: "Constitutionality and Forest Resource Management: Case Study of the Bakossi Landscape, South West Region, Cameroon" — published in SLUB Dresden catalogue. Examined how local perceptions, participation, and institutional recognition shape bottom-up forest governance.

Sep 2020 – Mar 2022

MSc Forest and Livelihoods

University of Copenhagen

Project management, natural resource governance, interdisciplinary research planning, people-poverty-environmental change, forest economics, and ecological field methods.

2015 – 2019

BSc Geography and Environmental Studies

Catholic University of Cameroon, Bamenda

GIS, remote sensing, climatology, urban development, environmental economics, water management, and geomorphology. Research project on socio-economic impacts of rice cultivation in Bamunka.

Certifications

Professional Credentials

AI & Data Science

Claude Code 101 (Anthropic), Claude 101 (Anthropic), AI Fluency for Builders (Anthropic), Develop Generative AI Applications (IBM), AI and Climate Change (DeepLearning.AI), Data Science Foundations, Advanced Predictive Modeling, R for Data Science, SPSS Statistics, AWS Cloud Practitioner (4 parts), Applications of GenAI in L&D

Environmental Science

Drones for Environmental Science (Duke University), Aerial Photography with Drones, IPBES and IPCC Bridging Science and Policy (RESPIN), Climate Change and Forestry: Monitoring and Policies, Responsible AI: Principles and Practical Applications

Data Governance & Business

Mastering Data Governance and Ethics, Corporate Finance: ESG, Data Ethics: Making Data-Driven Decisions, Foundation for Responsible AI, UN Habitat Workshops (Metropolitan Planning and Public Space Assessment)

Experience

Professional Journey

May 2026 – Present

Environmental Intelligence Specialist

Cleantech Nexus, Geneva, Switzerland

Field verification, biodiversity and NbS technical input, emerging market due diligence across Central and West Africa, EU funding technical support (Horizon Europe, LIFE), AI-enhanced environmental data.

Jan 2026 – Present

Environmental Science Expert

Alignerr, San Francisco, USA

Design and evaluate advanced environmental science problems for LLM reasoning. Validate scientific rigor across climate systems, ecology, carbon markets, and sustainability policy. Benchmark-quality dataset production.

May 2025 – Present

Environmental AI Data Contributor

Outlier.ai (Pegasus HLE Project), San Francisco

Expert-level benchmark dataset development for LLM evaluation in environmental resource management. Stress-test AI reasoning at the frontier of capability. Tropical forestry, biodiversity, carbon markets, REDD+.

Jan 2017 – Jul 2019

Conservation and Sustainability Officer

Green Forest Foundation, Cameroon