Ayush Raj – SCDLDS, Ashoka University

Ayush Raj is a Visiting Student at SCDLDS, Ashoka University, working at the intersection of AI and climate science. He is a 5th-year BS-MS student at IISER Pune, where his research focuses on subseasonal-to-seasonal (S2S) weather prediction using AI and machine learning, with interests spanning spatio-temporal climate modelling and atmospheric forecasting.

2026Workshop
Steering Diffusion Priors with Sparse Observations for High-Resolution Temperature Downscaling
Avireddy, A., Singh, M., Singh, S., Raj, A., Dhanuka, S., Mukhopadhyay, P. and Juneja, S.K.
NeurIPS 2026 Workshop: Tackling Climate Change with Machine Learning.
2026Workshop
IndiaS2S-Bench: A Comprehensive Benchmark of Subseasonal to Seasonal Forecasting over India
Raj, A., Dhanuka, S., Singh, M., Mukhopadhyay, P., Goswami, B. and Juneja, S.K.
NeurIPS 2026 Workshop: Tackling Climate Change with Machine Learning.
2026Workshop
Calibrating AI Subseasonal to Seasonal (S2S) Forecasts with Lightweight Regional Adapters
Raj, A., Singh, M., Dhanuka, S., Goswami, B., Mukhopadhyay, P., Juneja, S.K. and Mohapatra, M.
NeurIPS 2026 Workshop: Tackling Climate Change with Machine Learning.

All SCDLDS publications →