Luis Gomez

Luis Gomez is an Assistant Professor in the Elmore Family School of Electrical and Computer Engineering at Purdue University. His research focuses on computational electromagnetics, electromagnetic brain stimulation, and uncertainty quantification. He specializes in developing advanced algorithms for transcranial magnetic stimulation (TMS) optimization, including real-time electric field modeling, coil design, and neuronavigation systems. His work integrates fast multipole methods (FMM), boundary element methods (BEM), and deep learning for biomedical applications.

Key areas of expertise include:

• Electromagnetic dosimetry and safety in TMS
• Pseudo-realistic cell and neuron modeling
• Optimization of TMS coil placement and focality
• Uncertainty quantification in biomedical simulations

His recent publications emphasize real-time computation of electric fields for neuronavigation, fast solvers for population-level TMS targeting, and integration of machine learning with bioelectromagnetic analysis. Gomez collaborates on projects involving nonhuman primates and mouse models to advance neurostimulation technologies.

Notable research contributions include novel volume integral equation approaches for low-frequency dosimetry and the design of high-focality TMS coils. His work bridges computational methods with clinical applications in neurology and medical engineering.