PhD, 2026: Civil Engineering, Indian Institute of Technology Delhi, New Delhi, India.
MTech, 2019: Geoinformatics, Indian Institute of Space Sceince and Technology Thiruvananthapuram, Keralam, India.
Advanced Diploma, 2017: Java Enterprise Edition, NIELIT Calicut, Keralam, India.
BTech, 2016: Computer Sceince and Engineering, Govt Engineering College Wayanad, Keralam, India.
2019-2020: Senior Data Analyst, Subex, Bangalore, India.
Anagha Peringiyil is a Postdoctoral Research Associate at the University of Calgary. Her research focuses on the development of an ensemble precipitation datasets, the application of advanced machine learning techniques such as Graph Neural Networks in hydrology, process-based hydrologic modeling, and Remote Sensing. Anagha has published her work in leading international journals, including Scientific Data and the International Journal of Climatology. Prior to her academic career, she worked as a Senior Data Analyst at Subex in Bangalore, India. Her long-term research vision is to integrate geospatial technologies, artificial intelligence, and hydrological sciences to address challenges related to climate change, water security, and disaster resilience.
Peringiyil, A., Saharia, M., O. P., S., Wood, A.W., Mohapatra, M., Sabde, B., Kumari, A., Phadkar, B., C. T., S., P., R., K. S., H., Rajeevan, M., 2025. A station-based 0.1-degree daily gridded ensemble precipitation dataset for India. Sci Data 12, 333. https://doi.org/10.1038/s41597-025-04474-2 Peringiyil, A., Saharia, M., 2026. Improved Identification of Extreme Rainfall Events in the Himalayan Foothills Using an Observation‐Based Ensemble Precipitation Dataset. Intl Journal of Climatology e70412. https://doi.org/10.1002/joc.70412
About CAPE: We bring together observations, models, and data science to improve understanding and prediction of hydrological processes across scales from hillslopes to continents.
Land and Water Acknowledgement: We respectfully acknowledge that we live and work on Treaty 7 Territory and the Homeland of the Métis, Tsuut'ina, Stoney, and Blackfoot. We thank these nations for their care and stewardship over this land and water, and we pay respect to the ancestors of these places.