Summary
Rudra Shrestha is a climate scientist with a PhD from the University of Manchester and eight years of experience translating atmospheric science into public-health policy at the Government of British Columbia. He builds high-resolution (1 km) gridded climate and population datasets, models exposure–lag–response relationships to estimate temperature-related excess mortality, and assesses community-level exposures to extreme weather and wildfire smoke across BC. His background spans academia and government, including roles at Environment and Climate Change Canada, the Tyndall Centre, and CCCma, and he teaches and supervises graduate research as associate faculty at Royal Roads University. Equally comfortable with Python-based data science and Earth system modeling, he blends machine learning training (Stanford/DeepLearning.AI) with field campaign experience in the Himalayas, giving him a rare mix of hands-on observation, modeling, and policy-relevant analysis.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Atmospheric Sciences and Meteorology, Doctor of Philosophy - PhD, Atmospheric Sciences and Meteorology at The University of Manchester
Machine Learning Certification, Computer Science, 96.5%, Machine Learning Certification, Computer Science, 96.5% at Stanford University Online (via Coursera)
Bachelor's degree, Civil Engineering, Bachelor's degree, Civil Engineering at Tribhuvan University, IOE, Pulchowk Campus
100%, 100% at DeepLearning.AI
Master's degree, Environmental Science, Master's degree, Environmental Science at IHE Delft Institute for Water Education