I am a Ph.D. candidate in the Department of Civil and Environmental Engineering (CEE) at the Massachusetts Institute of Technology (MIT), working with Professor Michael F. Howland in the Howland Lab. My research lies at the intersection of environmental flow physics and computational science, with an emphasis on uncertainty quantification (UQ). My Ph.D. work couples multifidelity models of atmospheric flows with forward and inverse UQ methods. By drawing on both high-fidelity simulation data and field observations, I aim to improve predictions of the atmospheric boundary layer (ABL)—the critical region where nearly all human activity takes place.
As a researcher, I am driven by work that creates social impact across all timescales—from tomorrow’s forecast to long-term climate projections. Building on my earlier fieldwork on off-grid renewable energy in Tanzania and my current research modeling and quantifying uncertainty in turbulent ABL flows, I am eager to drive atmospheric modeling with state-of-the-art UQ techniques toward two distinct goals:
- To uncover and parameterize unresolved physics at critical interfaces—such as air-sea interactions, flows over complex terrain, and other boundary-layer dynamics.
- To optimize models for real-world decisions made under uncertainty—such as designing observing systems for urban planning, predicting wildfire spread and pollutant dispersion, forecasting weather extremes, and improving renewable-energy system siting and operation.
As the statistician George E. Box famously noted, “All models are wrong, but some are useful.” In this spirit, uncertainty quantification is an exercise in scientific humility—acknowledging a model’s limits in representing the real world so that we can make better, safer decisions. Ultimately, my research to bridge the gap between theory and observations is grounded in a deep commitment to service, ensuring the models I build become truly useful to those who need them most in applications spanning sustainability, resilience, energy, and health.
If this aligns with your interests, please get in touch!
Outside the lab, you can find me training for my next marathon, playing pick-up basketball, or enjoying a good book with a cup of coffee.