I am an Assistant Professor at the Technical University of Denmark (DTU), where I am affiliated with the Department of Wind and Energy Systems. I am a member of the Energy and Markets Analytics section (EMA).

Driven by the ongoing energy transition and the challenges emerging from the widespread integration of renewable energy sources, my research vision is to establish rigorous mathematical foundations and devise novel algorithmic solutions for enhancing the maintenance, planning, and coordination of both the power grid and electricity markets.

My research will delve into advancing and leveraging key areas, including game theory, formal verification, convex and functional analysis, measure theory, stochastic differential equations, optimisation, and feedback control theory. These areas are essential to address the complex challenges associated with coordination, operation, and analysis of modern power systems.

In fact, the high penetration of renewables, despite being a central driver of the ongoing energy transition, demands a fundamental shift in how we plan and operate modern power systems. Amongst many challenges in this transition, one of the most critical and unsolved problems is how to effectively manage a power system with 100 \(\%\) of renewable energy penetration.

Brief Bio

Before joining DTU in October 2024, I was a postdoc at the Stanford Intelligent Systems Laboratory (SISL), where I worked with Prof. Mykel Kochenderfer. I have also held a postdoctoral position at the Oxford Control and Verification Group (OXCAV), where I worked with Prof. Alessandro Abate. I obtained my PhD from the Department of Engineering Science, University of Oxford, under the supervision of Prof. Kostas Margellos and Prof. Antonis Papachristodoulou.

I obtained my MSc in Electrical Engineering from the University of Campinas (UNICAMP), Brazil, in 2017, under the supervision of Prof. Pedro Luis Dias Peres, and BSc in Electrical Engineering from the Federal University of Campina Grande (UFCG), Brazil, in 2014.

To support the theoretical advancements, test ideas, and algorithm implementation, we use either Julia, Python, or Matlab.

Below we list some technical tools to be explored in our research: