About Me
Hi! I'm Madhurima, a Researcher and Statistical Data Modeler working at the intersection of machine learning, statistics, and AI. My work focuses on time series forecasting, spatiotemporal modeling, and scientific machine learning, where I develop models that help us better understand and predict complex real-world systems.
🔬 Research Domains
I focus on building reliable, robust, and interpretable AI systems that extract meaningful insights from highly high-dimensional and non-linear data. My primary methodological areas include:
- Time Series Forecasting: Creating new structural and symbolic forecasting methods for complex system dynamics.
- Spatiotemporal Modeling: Developing frameworks to predict intricate spatial and temporal dependencies.
- Scientific Machine Learning: Bridging classical statistical principles with deep learning architectures.
🌍 Interdisciplinary Applications
I actively deploy these theoretical frameworks across a wide array of high-stakes domains:
- Climate & Environmental Science: Tracking and predicting environmental variations.
- Healthcare & Public Health: Modeling epidemiological trends and macro-level health metrics.
- Finance & Economics: Forecasting structural shifts and macro-indicators in complex markets.
🍕 Beyond Work
When I’m not developing models or exploring the latest AI tools, you’ll probably find me mentoring students or baking. As it turns out, both machine learning and baking require a healthy balance of creativity, precision, and patience!