Yedan is a visiting student from Umeå Institute of Design (Sweden). She has been exploring how to augment object, environment and human body with intelligent to improve the way people engage, understand, learn and create. She has a great passion in adding the sense of poetry and playfulness to technology through novel integrations of the physical and digital interaction. Before joining Media Lab, She worked as an interaction design researcher in Think Tank Team of Samsung Research America and Baidu Institute of Deep Learning. And she holds a B.

Markus is a PhD-student and visiting researcher at the Fluid Interfaces Group. He received his Diploma in Computer Science in 2012 from the University of Stuttgart, Germany. Before starting his PhD, Markus was interning at Yahoo!-Labs in Sunnyvale,CA. In the last three years, Markus focused on using Augmented Reality systems for providing context-aware instructions for untrained workers and workers with disabilities in assembly work contexts. His research interests further encompass Virtual Reality, Internet of Things, and Human-Drone Interaction.

Moran Cerf is a professor of neuroscience (department of neurosurgery, LIJ) and business (Kellogg School of Management). He holds a Ph.D in neuroscience from Caltech, an MA in Philosophy and a B.Sc in Physics from Tel-Aviv University.

Ronen Zilberman is a neuroscience researcher and chief-of-staff at Prof. Moran Cerf's C-Lab. His academic background is in Computer Science and Cognitive Science. He also heads an IT application and network security consultancy and has broad expertise in software development ranging from low-level coding such as assemble language, drivers and micro controllers to full-blown production-ready products. He is also an experienced improvised-theater performer and teacher.

Andres Campero is a PhD student for Game Theory and Decision Sciences in Kellogg at Northwestern working with Professor Moran Cerf. His areas of experience are in Game Theory (Evolutionary Game Theory, Complexity, Automata), Neuroscience (EEG analysis, Single Neuron data analysis, Sensory Augmentation) and Machine Learning (Probabilistic Graph Models, I-Theory).

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