My work explores how artificial intelligence can help us better understand and respond to climate risks. I also support other risk researchers at Woodwell Climate by improving the systems that manage and organize data, making it easier for the team to access information, carry out their analysis efficiently, and effectively communicate localized climate risks.
My background is in climate science and geospatial data engineering. Professionally, I’ve spent the last few years developing end-to-end data pipelines for large-scale climate datasets, transforming raw outputs into actionable, analysis-ready formats. These workflows have supported projects ranging from extreme weather risk to food system vulnerability. I’ve also worked on explainable machine learning models to interpret how climate stressors impact agriculture and ecological systems—skills that are especially useful when translating complex technical insights into formats that support decision-making for vulnerable communities or policy planning.
On a personal level, I’ve felt a growing urgency to focus my skills where they can support climate resilience and justice. It’s incredibly motivating to be part of a team where technical work is directly connected to helping people prepare for and respond to climate risks, bridging the gap between complex climate data and the real-world decisions that affect people’s lives. Looking ahead, one of my biggest goals is to help design AI systems that not only improve climate forecasting, but also make climate information more understandable and actionable—especially for those who need it most.
I’m originally from Kolkata, India—a city known for its rich cultural history, intellectual tradition, and vibrant energy. Growing up there gave me a deep appreciation for resilience, resourcefulness, and community—all of which shape how I approach problems in climate science today. I’m especially interested in the socioeconomic and sociopolitical histories of the Indian subcontinent and the United States, and how those histories shape vulnerability, resilience, and responses to environmental change. I also have a long-standing fascination with historical maps and the evolution of geographic understanding over time.
Outside of work, I spend a lot of time composing instrumental metal music with elements of fusion jazz—it’s a creative outlet that helps me explore complexity and emotion through sound. I’m passionate about data sonification and open-source software. I enjoy experimenting with ways to make climate data more intuitive through sound and visuals, and I try to contribute tools that others can build on. I also play semi-professional cricket, which keeps me grounded in discipline, teamwork, and staying in the moment.
