I’m an interdisciplinary technologist and independent researcher from Surkhet, in Nepal’s Karnali Province, working at the intersection of technology, public policy, environmental sustainability and data-driven decision-making.
My research develops machine-learning and statistical methods for climate, hydrological and hydrometeorological systems — with a particular interest in learning from the sparse, heterogeneous and nonstationary observations typical of data-constrained mountain regions.
Alongside research, I work across the nonprofit and international development sector — designing programmes that empower young people, strengthen communities and promote evidence-based decision-making.
Meaningful innovation happens when technology is combined with evidence, thoughtful policy, and a deep understanding of local contexts.
Research interests
Machine Learning · Statistical Learning · Time-Series & Spatiotemporal Modeling · Climate & Environmental Data Science · Hydrology · Hydrometeorology · GeoAI · Earth Observation & Remote Sensing
Fellowships & honours
- U.S. Department of State YSALI Fellow (2026) and YSALI Award for American Excellence in Entrepreneurship & Innovation (2026)
- Climate Change AI Summer School Fellow (2024, 2026)
- AWS re:Invent All Builders Welcome Grant (2025)
- MIT Technology Review Future Compute Conference Scholarship
- Top Presentation Award — Data Science for Public Policy and Governance, Young Scientist Conference 2024
- Provincial Winner, National Stock Pitch Competition 2024
Outside of work
Reading, solo travel and photography, public discussions and debates — and cooking.