Attaullah

Atta Ullah is a Data Scientist and Climate researcher at Weather and Climate Services (WCS), where he works at the intersection of climate science, artificial intelligence, and geospatial data analytics. He leads the Climate Data and Modeling Team, developing data-driven solutions for climate risk assessment, extreme weather analysis, and climate model evaluation. His research focuses on climate extremes, extreme event attribution, statistical downscaling, bias correction, and machine learning applications in climate science. He has extensive experience working with large-scale climate datasets, including CMIP6, ERA5, CORDEX, MERRA-2, CHIRPS, IMERG, and other Earth observation products. His technical expertise includes Python, R, geospatial analysis, and modern machine learning frameworks for processing and analyzing high-dimensional climate data. At WCS, Atta has contributed to several national and international projects, including climate risk assessments, flood and heat stress analyses, and the development of climate services that support evidence-based decision-making. His work has supported policymakers, researchers, and development partners in understanding and addressing climate-related risks. Atta holds an MPhil in Computer Science from Quaid-i-Azam University, where his research focused on graph machine learning and artificial intelligence. His broader research interests include climate intelligence, AI for Earth systems, extreme event attribution, and the development of interpretable machine learning methods for environmental applications.