I am a Research Fellow at the Earth Observatory of Singapore, Nanyang Technological University. I develop high-performance computing models to quantify physical climate risk. My expertise lies at the intersection of mathematics, computation, and climate change.
I was born and brought up in India. I then moved to California where I did my Bachelors in pure mathematics at UC Berkeley. Following that, I did my PhD in Computational Mathematics at Stanford University, where I developed simulation models to quantify the impacts of coastal flooding on urban transportation networks. After ten years in California, I moved to Singapore in 2021 to assume my current position as a Research Fellow. Over the past three years I have worked on a range of projects including, developing a global tropical cyclone couple wind-and-flood damage models; implementing a high-performance global flood propagation model, and enhancing digital elevation models using machine learning techniques.
Outside my day job, I am a Neoswing Dancer (check out my Youtube channel: https://www.youtube.com/c/neoswingwithneel, and Instagram: indraneel_g_k).
For the Climate Data Field Lab, I hope to utilize my computational skillset to develop multi-purpose high-resolution datasets. I hope to build a set of global time series maps of population and building exposure, enabling the visualization of changes in exposure against changes in climatic hazards. I would also be interested in projects related to machine learning, and possibly dance.
