About me

I am a researcher at the interface between machine learning and programmable networking. I aim to apply these two concepts to contribute to unleashing the full potential of next-generation networks.

I am on the research job market.

I am a research assistant in the Networks Data Science Group at IMDEA Networks Institute in Madrid, Spain, headed by Prof. Marco Fiore.

I recently obtained my PhD degree from Universidad Carlos III de Madrid, where I was enrolled in the Telematics Engineering program.

My PhD project was part of the European Union’s Horizon 2020 project “BANYAN” which aimed to bring big data analytics to radio access networks. During my PhD, I visited Ranplan Wireless and the University of Cambridge in the United Kingdom as part of the secondments of the EU project. I also visited the SMART team at Orange Innovation Networks for another secondment. My current research interest is in the area of in-band network intelligence, with a focus on in-network machine learning. Recent research outputs are published in top conferences like IEEE INFOCOM.

Prior to my PhD studies, I completed an engineering degree at the University of Yaounde I, in Cameroon and a master’s in electrical and computer engineering at Carnegie Mellon University Africa, in Rwanda. There, my research was on machine learning for energy-saving optimization in cellular networks, with a conference paper published in IEEE UEMCON 2020.