Godfred Abbey Torsah holds a PhD in Meteorology and Climate Science from KNUST in collaboration with the Karlsruhe Institute of Technology (KIT), Germany, under the DAAD-WASCAL WRAP 2.0 Programme. His doctoral research was embedded within the BMBF-funded FURIFLOOD project, where he developed integrated frameworks for assessing current and future risks of urban and rural flooding in West Africa.

Dr. Torsah’s research is situated at the intersection of extreme hydroclimatology, atmospheric dynamics, and data-driven climate analytics. His work focuses on the characterization and predictability of extreme rainfall events, flood hazard modeling in data-scarce environments, and the development of intensity–duration–frequency (IDF) relationships for climate risk assessment. He applies advanced statistical techniques alongside machine learning and artificial intelligence methods to improve the detection, attribution, and forecasting of high-impact weather and climate extremes across tropical West Africa.

His recent contributions include investigations into the dynamical triggers of convective extreme rainfall events, rain-on-grid flood modeling approaches, and AI-enabled climate impact studies aimed at enhancing early warning systems and climate services. He has published in leading outlets such as Weather and Climate Extremes and contributed to interdisciplinary work on AI capacity development and governance in African higher education systems.

Dr. Torsah is actively engaged in internationally funded research initiatives, including the RetAIn Project (Revolutionizing Tertiary Education for Africa’s Thriving AI Economy and Workforce), where he contributes to building scalable AI education ecosystems across Africa, and the Early Warning for Energy (EW4Energy) project, where he serves as a co-supervisor for doctoral research on climate–energy nexus applications. His work is strongly aligned with global priorities in climate resilience, disaster risk reduction, and sustainable urban development.

In addition to his research, he has substantial experience in mentoring undergraduate and postgraduate students and has contributed to capacity-building initiatives through the organizationy of international workshops, summer schools, and stakeholder engagement platforms. He serves as a reviewer for international journals, including the American Journal of Climate Change, and possesses strong technical competencies in scientific programming (Python, FORTRAN, R, BASH, CDO) and climate data analysis.

His research agenda is driven by the goal of advancing predictive understanding of extreme climate systems and translating scientific insights into actionable solutions for policy and societal resilience in Africa.