Nkongho Ayuketang Arreyndip

Photon Climate Extremes Consulting (photonclimate.com) specialises in the quantification of climate extremes (droughts, heatwaves, compound events and extreme precipitation) and their impacts on agriculture, energy systems, natural resources and food security. We combine advanced statistical methods, geospatial analysis, and AI-assisted workflows to deliver robust, decision-ready risk assessments and capacity-building support for governments and development partners.

Develop, evaluate, and fine-tune Frontier generative AI models to accurately solve highly complex, research-level theoretical and experimental Physics Problems.

Develop, evaluate, and fine-tune frontier generative AI models to accurately solve highly complex, graduate-level theoretical and mathematical physics problems. Design adversarial testing frameworks and rigorous benchmark datasets to probe model reasoning, isolating and correcting logical, mathematical, and physical convention flaws. Synthesize complex physical constraints and mathematical proofs to optimize LLM training data, improving multi-step reasoning capabilities and objective evaluation metrics.

Analyze and process large-scale media datasets to optimize data quality, algorithmic performance, and content delivery mechanics. Leverage statistical data analysis methodologies to identify hidden patterns, anomalous trends, and quality bottlenecks, directly improving underlying recommendation models. Collaborate within fast-paced, tech-driven workflows to guarantee strict data integrity benchmarks and delivery timelines.

Engineered advanced risk analysis and predictive models to simulate the global economic and market shocks triggered by coupled weather-geopolitical extreme events. Principal Investigator for an elite, EU-funded (€170K+) independent research framework, handling all data governance, milestone tracking, and cross-institutional reporting. Processed, cleaned, and integrated massive, disparate climate and geospatial datasets using high-performance Python and R data science pipelines.

I model the impacts of photosensitive parameters of atmospheric aerosols on their optical properties to contribute to the refinement of current climate projection models.

A teaching assistant on climate dynamics and impacts.

I process, classify, and recommend Apple apps and app queries.

I model the economic impacts of climate-induced crop losses on regional and global food markets.

Built robust econometric and statistical frameworks to quantify the compound economic impact of simultaneous extreme weather events across global breadbasket regions. Translated high-dimensional climate model projections (CMIP6) into actionable risk-assessment dashboards and statistical analytics for international stakeholders.

Undergraduate Physics Lecturer of the following courses: Thermodynamics 1&2, Geometrical Optics, Electrostatic and Magnetostatics, Biophysics and Classical Mechanics. Supervised more than 50 Bachelor thesis and more than 20 masters thesis over a period of 5yrs.