Elina Oikonomaki

As a data visualization designer, engineer, and researcher, my interest lies in the intersection of information design, urbanism, human-computer interaction, and AI explainability. In my role at Mobi Systems Inc., I lead research projects and develop sophisticated visualization tools that leverage advanced geospatial analysis and algorithms. My work contributes significantly to making complex data and algorithms understandable and impactful, facilitating internal decision-making, product innovation, and enhancing the transparency of AI technologies.

I earned a Master of Science in Electrical Engineering & Computer Science and a Master of Science in Design & Computation from the Massachusetts Institute of Technology, receiving both the MIT Merit Fellowship and MIT Graduate Fellowship for my academic achievements. My research on urban soundscapes during the Covid-19 pandemic was supported by the NUVU Prize. Before my time at MIT, I completed my diploma in Architecture Engineering at the National Technical University of Athens and was a visiting scholar at Istanbul Technical University.

As a researcher at the MIT Norman B. Center for Advanced Urbanism, I co-developed "Digital Urbanism" an initiative exploring the synergy between data visualization, technology, and urbanism. I actively engaged in organizing and participating in discussions with faculty, researchers, and industry leaders as part of this initiative. Additionally, I have served as a teaching assistant for courses in Big Data, Visualization and Society, Visual Computing, and Art, Design & Spatial Practice at the MIT School of Architecture and Planning, where I mentored a diverse group of students and crafted problem sets, design exercises, and lectures.