Majid Khoshrou

Biography

I'm a Data Scientist with over a decade of experience bridging academia and industry, building intelligent, production-ready systems for energy, mobility, and infrastructure. My work focuses on forecasting, probabilistic modeling, and generative AI - including Mr M, my domain-specific AI assistant powered by Retrieval-Augmented Generation (RAG).

I'm a passionate advocate for open-source innovation (e.g., OpenSTEF) and care deeply about explainability, reproducibility, and measurable impact. My projects span energy, robotics, marine science, social behavior analysis, and explainable AI - all connected by a commitment to applied, ethical AI.

I was born and raised in Qaem Shahr, in the heart of Mazandaran - a lush region in northern Iran nestled between the Alborz Mountains and the Caspian Sea. That environment continues to shape my values, curiosity, and commitment to building systems that are both intelligent and sustainable.

I earned my bachelor's degree in Electrical Engineering from Babol Noshirvani University of Technology. In 2012, I moved to Portugal to pursue a master's degree in Informatics and Computing Engineering at the University of Porto, where I also joined the Cyber-Physical Control Systems and Robotics Lab (C2SR). There, I developed online unsupervised learning algorithms for Gaussian Mixture Models applied to autonomous underwater vehicle navigation - an early step in building systems that adapt in real time.

In late 2015, I began my PhD at the Intelligent and Autonomous Systems group at the Dutch National Research Center for Mathematics and Computer Science (CWI), in partnership with the Intelligent Electrical Power Grids (IEPG) group at TU Delft. My research centered on data-driven methods for time-series analysis and forecasting in smart energy systems - blending theoretical rigor with real-world complexity.

From 2020 to the end of 2022, I continued at CWI as a postdoctoral researcher. While I valued the depth of academic inquiry, I increasingly sought work where innovation meets real-world impact - where ideas don't just live in papers, but shape systems, decisions, and lives.

In January 2023, I joined Alliander in Arnhem as a Senior Data Scientist. I now lead initiatives in grid forecasting, energy market optimization, and risk modeling, with a focus on developing real-time forecasting models for the Dutch energy market and building AI systems that are not only scalable, but also explainable and production-ready.