Nicholas Wimer Email and Phone Number

A computational scientist and independent consultant with expertise in the fields of fluid dynamics, computational methods, machine learning, programming, and visualization. Enjoys applying cutting-edge computational techniques to tackle a variety of challenging, real-world problems related to fluid dynamics, data science, fire/combustion, hydrology, and energy systems. A skilled presenter, academic author, and mentor with experience as a guest lecturer and instructor. Thesis work includes high-resolution numerical simulations of buoyancy driven flows using adaptive mesh refinement and low-Mach number approximations with direct applications to industrial heat transfer systems and wildland fire spread modeling. Postdoctoral work includes developing and deploying deep machine learning and artificial intelligence techniques for energy systems applications including internal combustion engine control and chemical reaction modeling. Independent consulting work includes software development and analysis for hydrological applications related to flooding and stormwater runoff events.