PhD Candidate, University of Colorado Boulder
Building a real-time operational early warning system for riverine flooding: river stage forecasting and flood inundation mapping at multiple-day lead times, with the Brahmaputra River Basin as the primary testbed.
The lens sweeps across the basin behind this page, zooming in on where calm flow gives way to flood risk.
Stage and streamflow forecasting via hierarchical Bayesian networks (BHNM), and space-time precipitation post-processing (HBPP), in R and Stan.
Gauge-informed reconstruction of continuous water surface elevation from sparse SWOT altimetry (BRACE), across the Brahmaputra, Willamette, and CONUS-scale networks.
Bayesian Causal Networks linking Brahmaputra streamflow and Colorado River drought to ENSO, IOD, and MJO drivers.
Ensemble HEC-RAS 2D simulations driven by posterior stage samples, producing exceedance probability flood maps.
Unless noted otherwise, the work below is part of my Ph.D. research at the University of Colorado Boulder.
This entire page's backdrop is the live simulation: watch the water surface elevation climb on the clock below, then click the button to see what changes when a warning goes out ahead of time.
Turning the real-time Brahmaputra flood forecasting and inundation system into a public website and app, where local communities can view forecasts and upload geotagged photos of flooding that feed back into model validation.
Testing the hypothesis that the spatial pattern of Pacific warming matters more than El Niño magnitude in driving the Indian Summer Monsoon, using the 2026 super El Niño as a test case alongside past strong events.
Analyzing trends in extreme precipitation across the Nepal Himalayan belt with quantile regression, and examining how aerosols may be intensifying heavy rainfall.
Inverting cross-sectional area, bed geometry and Manning's resistance from BRACE water levels, satellite width and gauged discharge, and deriving reach-scale rating curves and Manning's n for the Brahmaputra with the Inunda hydrodynamic model, SWOT and SWORD.
AGU Fall Meeting 2026: Primary convener, Session H096, "Land-Ocean-Atmosphere Drivers of Hydroclimatic Extremes: Prediction and Early Warning in the South Asian Monsoon," with co-conveners Balaji Rajagopalan, Manabendra Saharia, and Priyam Deka. Invited speaker: Dr. Madhavan Nair Rajeevan.
A 90 second story of the Ph.D. framework: from ensemble rainfall forecasts to river stage forecasts and probabilistic flood inundation maps, delivered as an operational early warning.