Alex’s research seeks to improve our understanding of the lower atmosphere, especially as it pertains to wind turbines. His current work centers on the RAAW field campaign, in which he seeks to bridge the gap between turbine inflow observations and simulations through the use of machine learning and traditional data assimilation techniques. In the past, he has conducted weather-scale analysis, conducting wind resource assessments off the coast of California and simulating wind plant wakes in the mid-Atlantic.

Research Interests

Computational Fluid Dynamics
Boundary Layer Meteorology
Data Assimilation
Machine Learning
Model Validation, Verification, and Uncertainty Quantification

Education

Ph.D., Mechanical Engineering, University of Colorado Boulder

M.S., Mechanical Engineering, University of Colorado Boulder

B.E., Mechanical Engineering, The Cooper Union