Our Research Projects
Agentic AI & ML Applications in Indian Equity Markets and Corporate Governance
Factor investing has been a prominent investment strategy for fund managers across the globe and has gained popularity in India as well. However, applying global factor construction methodology directly to India can be misleading due to the microstructure of the Indian equity market.
AI for weather and climate modelling
This group focuses on improving weather forecasts for India with data-driven methods to help mitigate the impacts of climate change and help various downstream applications like energy, agriculture and disaster management.
Delhi Pollution Forecast & History
This is an atmospheric research platform designed to monitor and predict air quality in the Delhi.
Financial Factor Data Library
The website provides Fama-French factors for Indian equity markets along with an interactive tool visualization, analysis, and backtesting portfolio strategies. We currently cover the six core Fama-French factors: size, value, profitability, investment, and momentum starting in October 2003. We start with all stocks in the CMIE Prowess database and apply filters to screen out thinly traded stocks, penny stocks, and microcaps. This is the final SCDLDS universe that we use to compute monthly portfolio and factor returns. We will augment the return time series on a monthly basis and add other factors from time to time.
Generative AI using diffusion modelling
The diffusion group at SCDLDS seeks to explore various theoretical questions in the subfield of diffusion, which is the state-of-the-art theory employed in the best generative models around the world such as image/video generators, and recently in LLMs.
S2S Research · Experimental Subseasonal Forecast
We have created a website that shows sub-seasonal to seasonal forecast looking ahead six weeks. This is based on global weather models that are fine tuned and optimized to give better predictions.
Announcements
September 25, 2026
| NewsWill monsoons become impossible to predict?
Hindustan Times | September 25, 2026 By Sandeep Juneja and Tapio Schneider
September 20, 2026
| NewsEarly warning systems need alerts for non-rainfall triggers, says climate scientist and SCDLDS Visitor Tapio Schneider
CNBC TV | September 20
September 20, 2026
| News‘Few minutes can save lives’: Nepal floods underline need for early warnings beyond rain, says climate scientistTapio Schneider says warnings must cover high-altitude ice and rock collapses, while AI could help improve rainfall prediction in India
Telegraph India | September 20
September 20, 2026
| NewsWhy Expanding Early Warning Systems Is Crucial For Disaster Mitigation
Rediff.com | September 20, 2026 Climate scientist and Visitor at SCDLDS Tapio Schneider from Caltech emphasises the urgent need to expand early warning systems for disasters beyond rainfall events and explores how advanced climate modelling and artificial intelligence can significantly improve global and regional predictions amidst inevitable global warming. Read more
September 15, 2026
| PodcastCovid Modelling in AI and Math
Akshat Bhaskar and Amaira Akbar sit down with Professor Sandeep Juneja, Professor of Computer Science at Ashoka University and Director of the Safexpress Centre for Data, Learning and Decision Sciences, previously Senior Professor and Dean at the Tata Institute of Fundamental Research (TIFR), Mumbai. Sandeep walks us through his journey from a B.Tech in Mechanical … Read more
September 15, 2026
| NewsBeyond two weeks: How AI is transforming Indian monsoon forecasting…
Sandeep Juneja & Manmeet Singh Published in The Week: September 14, 2026 10:05 PM IST Read more at: https://www.theweek.in/news/sci-tech/2026/09/14/ai-monsoon-forecasting-india.html