💼 Senior Researcher At the Peace Research Institute Oslo (PRIO), where I lead advanced research initiatives focused on conflict forecasting.
🚀 Team Leader Team Leader for Model Development and Deployment (MD&D) at the Violence Impact and Early Warning System (VIEWS), delivering actionable insights to humanitarian organizations.
🔍 Current Focus Areas:
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HydraNet: Pioneering tempo-spatial learning using U-net + LSTM architectures to enhance conflict forecasting.
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VIEWS Forecasting Pipeline: Developing the next-generation pipeline for more flexible, robust, and transparent conflict forecasts
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VIEWS-FAO Conflict Return Periods: Pilot project of estimating the recurrence of highly destructive conflict events in collaboration with FAO to inform parametric insurance.
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Actor-Level Conflict Escalation Patterns: Applying cutting-edge LLMs and newswire text analysis to decode conflict escalation dynamics at the actor level.
🎯 Driving Force: Trying really hard to generate actionable insights that enables early action, aiming to reduce the human toll of violent conflicts.
💡 Problem-Solving Philosophy: Fuel up on energy drinks, code, code, code, dive deep, get confused, embrace the confusion, get confused, repeat
💬 Ask Me About:
- Forecasting violent conflict with Machine Learning.
- Tempo-spatial modeling with neural networks.
- The role (current and future) of AI and machine learning in peace and conflict processes.
- Transparency, interpretability, and causality in AI-driven early warning systems for peace and conflict.
- Collaborations or partnerships in conflict prediction.
