I am a Postdoctoral Research Fellow specializing in power systems, energy analytics, battery energy storage systems (BESS), optimization, and forecasting for electric power system applications. My research focuses on the development of mathematical models, data-driven methodologies, and decision-support tools that support the transition toward distributed, clean, and intelligent energy systems.

My work spans several areas of modern power systems, including distribution system operation and planning, power system state estimation, grid analytics, energy forecasting, and the application of machine learning techniques to energy challenges. Throughout my career, I have collaborated with utilities and industry partners on projects involving battery energy storage scheduling, distributed energy resource (DER) coordination, demand response, and utility business transformation initiatives.

I hold a Ph.D. in Electrical Engineering from the University of Campinas (Brazil), which included a research stay at Toronto Metropolitan University (Canada). My doctoral research focused on three-phase state estimation and its applications to distribution systems.

I am particularly interested in interdisciplinary collaborations at the intersection of power systems, optimization, artificial intelligence, and the economics of the energy transition and grid modernization.