Gabriele Accarino

Gabriele Accarino is a Postdoctoral Research Scientist at Columbia University's Learning the Earth with Artificial Intelligence and Physics (LEAP) Science and Technology Center, focusing on machine learning applications in climate science. He previously held a research fellowship at the Department of Engineering for Innovation at the University of Salento and served as an adjunct professor there. His career includes a Junior Scientist role at the CMCC Foundation's Advanced Digital Innovation Center (ADIC), where he led the machine learning research unit and contributed to European projects like Silvanus.

Education:

• Master’s in Computer Engineering (with honors), University of Salento
• PhD in Environmental Sciences, University of Salento

His research spans data-driven climate modeling, spatio-temporal analysis, and machine learning for extreme weather events, pandemics, and environmental conflicts. He specializes in LSTM networks, Transformer architectures, and HPC integration with big data analytics.

Recent publications highlight his work on AI applications in aquatic sciences, climate change knowledge transfer, ensemble machine learning for cyclones, and pandemic modeling. His projects address interdisciplinary challenges like environmental-COVID-19 links and pollution-conflict dynamics.

Scientific Awards:

• Research Fellowship at University of Salento's Department of Engineering for Innovation

Gabriele co-supervises European research initiatives and maintains affiliations with the CMCC Foundation while advancing postdoctoral work at Columbia University. His expertise bridges climate science, computational methods, and public health analytics.